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1.
Riichiro Mizoguchi 《New Generation Computing》2004,22(2):193-220
This article deals with advanced topics of ontological engineering to convince readers ontology is more than a rule base of
terminological problems and is worth to consider a promising methodology in the next generation knowledge processing research.
Needless to say, ontology in AI is tightly connected to ontology in philosophy. The first topic here is on philosophical issues
which are very important to properly understand what an ontology is. After defining class, instance andis-a relation, we point out some typical inappropriate uses ofis-a relation in existing ontologies and analyze the reasons why. Other topics are basic ontological distinction, part-of relation,
and so on. As an advanced example of ontology, an ontology of representation is extensively discussed. To conclude this tutorial,
a success story of ontological engineering is presented. It is concerned with a new kind of application of ontology, that
is, knowledge systematization. An ontology-based framework for functional knowledge sharing has been deployed into a company
for two years and has been a great success. Finally, future of ontological engineering is discussed followed by concluding
remarks.
Riichiro Mizoguchi, Ph.D.: He is Professor of the Department of Knowledge Systems, the Institute of Scientific and Industrial Research, Osaka University.
He received his B.S., M.S., and Ph.D. degrees from Osaka University in 1972, 1974 and 1977 respectively. From 1978 to 1986
he was research associate in the Institute of Scientific and Industrial Research, Osaka University. From 1986 to 1989 he was
Associate Professor there. His research interests include Non-parametric data analyses, Knowledge-based systems, Ontological
engineering and Intelligent learning support systems. He is a member of the Japanese Society for Artificial Intelligence,
the Institute of Electronics, Information and Communica-tion Engineers, the Information Processing Society of Japan, the Japanese
Society for Information and Systems in Education, Intl. AI in Education (IAIED) Soc., AAAI, IEEE and APC of AACE. Currently,
he is President of IAIED Soc. and APC of AACE. He received honorable mention for the Pattern Recognition Society Award, the
Institute of Electronics, Information and Communication Engineers Award, 10th Anniversary Paper Award from the Japanese Society
for Artificial Intelligence and Best paper Award of ICCE99 in 1985, 1988, 1996 and 1999, respectively. He can be reached at
miz@ei.sanken.osaka-u.ac.jp 相似文献
2.
In this paper we describe a form of communication that could be used for lifelong learning as contribution to cultural computing. We call it Kansei Mediation. It is a multimedia communication concept that can cope with non-verbal, emotional and Kansei information. We introduce the distinction between the concepts of Kansei Communication and Kansei Media. We then develop a theory of communication (i.e. Kansei Mediation) as a combination of both. Based on recent results from brain research the proposed concept of Kansei Mediation is developed and discussed. The biased preference towards consciousness in established communication theories is critically reviewed and the relationship to pre- and unconscious brain processes explored. There are two tenets of the Kansei Mediation communication theory: (1) communication based on connected unconciousness, and (2) Satori as the ultimate form of experience.
Ryohei Nakatsu received the B.S. (1969), M.S. (1971) and Ph.D. (1982) degrees in electronic engineering from Kyoto University. After joining NTT in 1971, he mainly worked on speech recognition technology. He joined ATR (Advanced Telecommunications Research Institute) as the president of ATR Media Integration & Communications Research Laboratories (1994–2002). From the spring of 2002 he is full professor at School of Science and Technology, Kwansei Gakuin University in Sanda (Japan). At the same time he established a venture company, Nirvana Technology Inc., and became the president of the company. In 1978, he received Young Engineer Award from the Institute of Electronics, Information and Communication Engineers Japan (IEICE-J). In 1996, he received the best paper award from the IEEE International Conference on Multimedia. In 1999, 2000 and 2001, he was awarded Telecom System Award from Telecommunication System Foundation and the best paper award from Virtual Reality Society of Japan. In 2000, he got the best paper award from Artificial Intelligence Society of Japan. He is a fellow of the IEEE and the Institute of Electronics, Information and Communication Engineers Japan (IEICE-J), a member of the Acoustical Society of Japan, Information Processing Society of Japan, and Japanese Society for Artificial Intelligence.
Matthias Rauterberg received the B.S. in psychology (1978) at the University of Marburg (Germany), the B.S. in philosophy (1981) and computer science (1983), the M.S. in psychology (1981) and computer science (1985) at the University of Hamburg (Germany), and the Ph.D. in computer science (1995) at the University of Zurich (Switzerland). He was a senior lecturer for ‘usability engineering’ in computer science and industrial engineering at the Swiss Federal Institute of Technology (ETH) in Zurich. He was the head of the Man–Machine Interaction research group (MMI) of the Institute for Hygiene and Applied Physiology (IHA) from the Department of Industrial Engineering at the ETH, Zurich. Since 1998, he is a fulltime professor for ‘human communication technology’ at the Department of Industrial Design at the Technical University Eindhoven (The Netherlands), and also since 2004, he is appointed as a visiting professor at the Kwansei Gakuin University (Japan). He received the German GI-HCI award for the best Ph.D. in 1997 and the Swiss Technology Award together with Martin Bichsel for the BUILD-IT system in 1998. Since 2005, he is elected as a member of the Cream of Science in The Netherlands.
Ben Salem received the Dip.Arch. (1987) at the Ecole Polytechnique d'Architecture et d'Urbanisme EPAU (Algiers), the M.Arch. (1993) at the School of Architectural Studies of the University of Sheffield (UK), and the Ph.D. in electronics (2003) at the Department of Electronic and Electrical Engineering, University of Sheffield (UK). Since 2001, he is director of Polywork Ltd. (UK). Since 2003. he has a PostDoc position at the Department of Industrial Design of the Technical University Eindhoven (The Netherlands). 相似文献
3.
This paper proposes an automatic indexing method named PAI (Priming Activation Indexing) that extracts keywords expressing
the author’s main point from a document based on the priming effect. The basic idea is that since the author writes a document
emphasizing his/her main point, impressive terms born in the mind of the reader could represent the asserted keywords. Our
approach employs a spreading activation model without using corpus, thesaurus, syntactic analysis, dependency relations between
terms or any other knowledge except for stop-word list. Experimental evaluations are reported by applying PAI to journal/conference
papers.
Naohiro Matsumura: He received his B.S. and M.S. in Engineering Science from Osaka University in 1998 and 2000. Currently, he is a Ph.D. candidate
in Engineering at the University of Tokyo and a research staff of PRESTO of Japan Science and Technology Corporation (2000–).
His research interests include chance discovery, computer-mediated communication, and user-oriented data mining/text mining.
Yukio Ohsawa, Ph.D.: BS, U. Tokyo, 1990, MS, 1992, DS, 1995. Research associate Osaka U. (1995). Associate prof. Univ. of Tsukuba (1999–) and
also researcher of Japan Science and Technology Corp (2000–). He has been working for the program com. of the Workshop on
Multiagent and Cooperative Computation, Annual Conf. Japanese Soc. Artificial Intelligence, International Conf. MultiAgent
Systems, Discovery Science, Pacific Asia Knowledge Discovery and Data Mining, International Conference on Web Intelligence,
etc. He chaired the First International Workshop of Japanese Soc. on Artificial Intelligence, Chance Discovery International
Workshop Series and the Fall Symposium on Chance Discovery from AAAI. Guest editor of Special Issues on Chance Discovery for
the Journal of Contingencies and Crisis Management, Journal of Japan Society for Fuzzy Theory and intelligent informatics,
regular member of editorial board for Japanese Society of Artificial Intelligence. Currently he is authoring book “Chance
Discovery” from Springer Verlag, “Knowledge Managament” from Ohmsha etc.
Mitsuru Ishizuka, Ph.D.: He is a professor at the Dept. of Infomation and Communication Eng., School of Information Science and Thechnology, the Univ.
of Tokyo. Prior to this position, he worked at NTT Yokosuka Lab. and the Institute of Industrial Science, the Univ. of Tokyo.
He earned his B.S., M.S. and Ph.D. in electronic engineering from the Univ. of Tokyo. His research interests include artificial
intelligence, WWW intelligence, and multimodal lifelike agents. He is a member of IEEE, AAAI, IEICE Japan, IPS Japan, and
Japanese Society for AI. 相似文献
4.
In this paper, we propose an approach to the construction of an intelligent system that handles various domain information
provided on the Internet. The intelligent system adopts statistical decision-making as its reasoning framework and automatically
constructs probabilistic knowledge, required for its decision-making, from Web-pages. This construction of probabilistic knowledge
is carried out using aprobability interpretation idea that transforms statements in Web-pages into constraints on the subjective probabilities of a person who describes the
statements. In this paper, we particularly focus on describing the basic idea of our approach and on discussing difficulties
in our approach, including our perspective.
Kazunori Fujimoto: He received bachelor’s degree from Department of Electrical Engineering, Doshisha University, Japan, in 1989, and master’s
degree from Division of Applied Systems Science, Kyoto University, Japan, in 1992. From there, he joined NTT Electrical Communications
Laboratories, Tokyo, Japan, and has been engaged in research on Artificial Intelligence. He is currently interested in probabilistic
reasoning, knowledge acquisition, and especially in quantitative approaches to research in human cognition and behavior. Mr.
Fujimoto is a member of Decision Analysis Society, The Behaviormetric Society of Japan, Japanese Society for Artificial Intelligence,
Information Processing Society of Japan, and Japanese Society for Fuzzy Theory and Systems.
Kazumitsu Matsuzawa: He received B.S. and M.S. degrees in electronic engineering from Tokyo Institute of Technology, Tokyo, Japan, in 1975 and
1977. From there, he joined NTT Electrical Communications Laboratories, Tokyo, Japan, and has been engaged in research on
computer architecture and the design of LSI. He is currently concerned with AI technology. Mr. Matsuzawa is a member of The
Institute of Electronics, Information and Communication Engineers, Information Processing Society of Japan, Japanese Society
for Artificial Intelligence, and Japanese Society for Fuzzy Theory and Systems. 相似文献
5.
This paper describes a musical instrument identification method that takes into consideration the pitch dependency of timbres of musical instruments. The difficulty in musical instrument identification resides in the pitch dependency of
musical instrument sounds, that is, acoustic features of most musical instruments vary according to the pitch (fundamental
frequency, F0). To cope with this difficulty, we propose an F0-dependent multivariate normal distribution, where each element of the mean vector is represented by a function of F0. Our method first extracts 129 features (e.g.,
the spectral centroid, the gradient of the straight line approximating the power envelope) from a musical instrument sound
and then reduces the dimensionality of the feature space into 18 dimension. In the 18-dimensional feature space, it calculates
an F0-dependent mean function and an F0-normalized covariance, and finally applies the Bayes decision rule. Experimental results of identifying 6,247 solo tones of 19 musical instruments
shows that the proposed method improved the recognition rate from 75.73% to 79.73%.
This research was partially supported by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Grant-in-Aid
for Scientific Research (A), No.15200015, and Informatics Research Center for Development of Knowledge Society Infrastructure
(COE program of MEXT, Japan).
Tetsuro Kitahara received the B.S. from Tokyo University of Science in 2002 and the M.S. from Kyoto University in 2004. He is currently a
Ph.D. course student at Graduate School of Informatics, Kyoto University. Since 2005, he has been a Research Fellow of the
Japan Society for the Promotion of Science. His research interests include music informatics. He recieved IPSJ 65th National
Convention Student Award in 2003, IPSJ 66th National Convention Student Award and TELECOM System Technology Award for Student
in 2004, and IPSJ 67th National Convention Best Paper Award for Young Researcher in 2005. He is a student member of IPSJ,
IEICE, JSAI, ASJ, and JSMPC.
Masataka Goto received his Doctor of Engineering degree in Electronics, Information and Communication Engineering from Waseda University,
Japan, in 1998. He then joined the Electrotechnical Laboratory (ETL; reorganized as the National Institute of Advanced Industrial
Science and Technology (AIST) in 2001), where he has been engaged as a researcher ever since. He served concurrently as a
researcher in Precursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Corporation
(JST) from 2000 to 2003, and an associate professor of the Department of Intelligent Interaction Technologies, Graduate School
of Systems and Information Engineering, University of Tsukuba since 2005. His research interests include music information
processing and spoken language processing. Dr. Goto received seventeen awards including the IPSJ Best Paper Award and IPSJ
Yamashita SIG Research Awards (MUS and SLP) from the Information Processing Society of Japan (IPSJ), Awaya Prize for Outstanding
Presentation and Award for Outstanding Poster Presentation from the Acoustical Society of Japan (ASJ), Award for Best Presentation
from the Japanese Society for Music Perception and Cognition (JSMPC), WISS 2000 Best Paper Award and Best Presentation Award,
and Interaction 2003 Best Paper Award. He is a member of the IPSJ, ASJ, JSMPC, Institute of Electronics, Information and Communication
Engineers (IEICE), and International Speech Communication Association (ISCA).
Hiroshi G. Okuno received the B.A. and Ph.D from the University of Tokyo in 1972 and 1996, respectively. He worked for Nippon Telegraph and
Telephone, Kitano Symbiotic Systems Project, and Tokyo University of Science. He is currently a professor at the Department
of Intelligence Technology and Science, Graduate School of Informatics, Kyoto University. He was a visiting scholar at Stanford
University, and a visiting associate professor at the University of Tokyo. He has done research in programming languages,
parallel processing, and reasoning mechanism in AI, and he is currently engaged in computational auditory scene analysis,
music scene analysis and robot audition. He received the best paper awards from the Japanese Society for Artificial Intelligence
and the International Society for Applied Intelligence, in 1991 and 2001, respectively. He edited with David Rosenthal “Computational
Auditory Scene Analysis” from Lawrence Erlbaum Associates in 1998 and with Taiichi Yuasa “Advanced Lisp Technology” from Taylor
and Francis Inc. in 2002. He is a member of IPSJ, JSAI, JSSST, JSCS, ACM, AAAI, ASA, and IEEE. 相似文献
6.
We propose a notion of a real-world knowledge medium by presenting our ongoing project to build a guidance system for exhibition
tours. In order to realize a knowledge medium usable in the real world, we focus on the context-awareness of users and their
environments. Our system is a personal mobile assistant that provides visitors touring exhibitions with information based
on their spatial/temporal locations and individual interests. We also describe an application of knowledge sharing used in
the actual exhibition spaces.
Yasuyuki Sumi, Ph.D.: He has been a researcher at ATR Media Integration & Communications Research Laboratories since 1995. His research interests
include knowledge-based systems, creativity supporting systems, and their applications for facilitating human collaboration.
He received his B. Eng. degree from Waseda University in 1990, and M. Eng. and D. Eng. degrees in information engineering
from the University of Tokyo in 1992 and 1995, respectively. He is a member of Institutes of Electronics, Information and
Communication Engineers (IEICE) of Japan, the Information Processing Society of Japan (IPSJ), the Japanese Society for Artificial
Intelligence (JSAI), and American Association for Artificial Intelligence (AAAI).
Kenji Mase, Ph.D.: He received the B.S. degree in Electrical Engineering and the M.S. and Ph.D. degrees in Information Engineering from Nagoya
University in 1979, 1981 and 1992 respectively. He has been with ATR (Advanced Telecommunications Research Institute) Media
Integration & Communications Research Laboratories since 1995 and is currently the head of Department 2. He joined the Nippon
Telegraph and Telephone Corporation (NTT) in 1981 and had been with the NTT Human Interface Laboratories. He was a visiting
researcher at the Media Laboratory, MIT in 1988–1989. His research interests include image sequence processing of human actions,
computer graphics, computer vision, artificial intelligence and their applications for computer-aided communications and human-machine
interfaces. He is a member of the Information Processing Society of Japan (IPSJ), Institutes of Electronics, Information and
Communication Engineers (IEICE) of Japan and IEEE Computer Society. 相似文献
7.
A separation method for DNA computing based on concentration control is presented. The concentration control method was earlier
developed and has enabled us to use DNA concentrations as input data and as filters to extract target DNA. We have also applied
the method to the shortest path problems, and have shown the potential of concentration control to solve large-scale combinatorial
optimization problems. However, it is still quite difficult to separate different DNA with the same length and to quantify
individual DNA concentrations. To overcome these difficulties, we use DGGE and CDGE in this paper. We demonstrate that the
proposed method enables us to separate different DNA with the same length efficiently, and we actually solve an instance of
the shortest path problems.
Masahito Yamamoto, Ph.D.: He is associate professor of information engineering at Hokkaido University. He received Ph.D. from the Graduate School
of Engineering, Hokkaido University in 1996. His current research interests include DNA computing based the laboratory experiments.
He is a member of Operations Research Society of Japan, Japanese Society for Artificial Intelligence, Information Processing
Society of Japan etc.
Atsushi Kameda, Ph.D.: He is the research staff of Japan Science and Technology Corporation, and has participated in research of DNA computing
in Hokkaido University. He received his Ph.D. from Hokkaido University in 2001. For each degree he majored in molecular biology.
His research theme is about the role of polyphosphate in the living body. As one of the researches relevant to it, he constructed
the ATP regeneration system using two enzyme which makes polyphosphate the phosphagen.
Nobuo Matsuura: He is a master course student of Division of Systems and Information Engineering of Hokkaido University. His research interests
relate to DNA computing with concentration control for shortest path problems, as a means of solution of optimization problems
with bimolecular.
Toshikazu Shiba, Ph.D.: He is associate, professor of biochemical engineering at Hokkaido University. He received his Ph.D. from Osaka University
in 1991. He majored in molecular genetics and biochemistry. His research has progressed from bacterial molecular biology (regulation
of gene expression of bacterial cells) to tissue engineering (bone regeneration). Recently, he is very interested in molecular
computation and trying to apply his biochemical idea to information technology.
Yumi Kawazoe: She is a master course student of Division of Molecular Chemistry of Hokkaido University. Although her major is molecular
biology, she is very interested in molecular computation and bioinformatics.
Azuma Ohuchi, Ph.D.: He is professor of Information Engineering at the University of Hokkaido, Sapporo, Japan. He has been developing a new field
of complex systems engineering, i.e., Harmonious Systems Engineering since 1995. He has published numerous papers on systems
engineering, operations research, and computer science. In addition, he is currently supervising projects on DNA computing,
multi-agents based artificial market systems, medical informatics, and autonomous flying objects. He was awarded “The 30th
Anniversary Award for Excellent Papers” by the Information Processing Society of Japan. He is a member of Operations Research
Society of Japan, Japanese Society for Artificial Intelligence, Information Processing Society of Japan, Japan Association
for Medical Informatics, IEEE Computer Society, IEEE System, Man and Cybernetics Society etc. He received PhD from Hokkaido
University in 1976. 相似文献
8.
In this paper, we present a new method for fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers.
The proposed method considers the centroid points and the standard deviations of generalized trapezoidal fuzzy numbers for
ranking generalized trapezoidal fuzzy numbers. We also use an example to compare the ranking results of the proposed method
with the existing centroid-index ranking methods. The proposed ranking method can overcome the drawbacks of the existing centroid-index
ranking methods. Based on the proposed ranking method, we also present an algorithm to deal with fuzzy risk analysis problems.
The proposed fuzzy risk analysis algorithm can overcome the drawbacks of the one we presented in [7].
Shi-Jay Chen was born in 1972, in Taipei, Taiwan, Republic of China. He received the B.S. degree in information management from the Kaohsiung
Polytechnic Institute, Kaohsiung, Taiwan, and the M.S. degree in information management from the Chaoyang University of Technology,
Taichung, Taiwan, in 1997 and 1999, respectively. He received the Ph.D. degree at the Department of Computer Science and Information
Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, in October 2004. His research interests
include fuzzy systems, multicriteria fuzzy decisionmaking, and artificial intelligence.
Shyi-Ming Chen was born on January 16, 1960, in Taipei, Taiwan, Republic of China. He received the Ph.D. degree in Electrical Engineering
from National Taiwan University, Taipei, Taiwan, in June 1991. From August 1987 to July 1989 and from August 1990 to July
1991, he was with the Department of Electronic Engineering, Fu-Jen University, Taipei, Taiwan. From August 1991 to July 1996,
he was an Associate Professor in the Department of Computer and Information Science, National Chiao Tung University, Hsinchu,
Taiwan. From August 1996 to July 1998, he was a Professor in the Department of Computer and Information Science, National
Chiao Tung University, Hsinchu, Taiwan. From August 1998 to July 2001, he was a Professor in the Department of Electronic
Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan. Since August 2001, he has been a Professor
in the Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei,
Taiwan. He was a Visiting Scholar in the Department of Electrical Engineering and Computer Science, University of California,
Berkeley, in 1999. He was a Visiting Scholar in the Institute of Information Science, Academia Sinica, Republic of China,
in 2003. He has published more than 250 papers in referred journals, conference proceedings and book chapters. His research
interests include fuzzy systems, information retrieval, knowledge-based systems, artificial intelligence, neural networks,
data mining, and genetic algorithms.
Dr. Chen has received several honors and awards, including the 1994 Outstanding Paper Award o f the Journal of Information
and Education, the 1995 Outstanding Paper Award of the Computer Society of the Republic of China, the 1995 and 1996 Acer Dragon
Thesis Awards for Outstanding M.S. Thesis Supervision, the 1995 Xerox Foundation Award for Outstanding M.S. Thesis Supervision,
the 1996 Chinese Institute of Electrical Engineering Award for Outstanding M.S. Thesis Supervision, the 1997 National Science
Council Award, Republic of China, for Outstanding Undergraduate Student's Project Supervision, the 1997 Outstanding Youth
Electrical Engineer Award of the Chinese Institute of Electrical Engineering, Republic of China, the Best Paper Award of the
1999 National Computer Symposium, Republic of China, the 1999 Outstanding Paper Award of the Computer Society of the Republic
of China, the 2001 Institute of Information and Computing Machinery Thesis Award for Outstanding M.S. Thesis Supervision,
the 2001 Outstanding Talented Person Award, Republic of China, for the contributions in Information Technology, the 2002 Institute
of information and Computing Machinery Thesis Award for Outstanding M.S. Thesis Supervision, the Outstanding Electrical Engineering
Professor Award granted by the Chinese Institute of Electrical Engineering (CIEE), Republic of China, the 2002 Chinese Fuzzy
Systems Association Best Thesis Award for Outstanding M.S. Thesis Supervision, the 2003 Outstanding Paper Award of the Technological
and Vocational Education Society, Republic of China, the 2003 Acer Dragon Thesis Award for Outstanding Ph.D. Dissertation
Supervision, the 2005 “Operations Research Society of Taiwan” Award for Outstanding M.S. Thesis Supervision, the 2005 Acer
Dragon Thesis Award for Outstanding Ph.D. Dissertation Supervision, the 2005 Taiwan Fuzzy Systems Association Award for Outstanding
Ph.D. Dissertation Supervision, and the 2006 “Operations Research Society of Taiwan” Award for Outstanding M.S. Thesis Supervision.
Dr. Chen is currently the President of the Taiwanese Association for Artificial Intelligence (TAAI). He is a Senior Member
of the IEEE, a member of the ACM, the International Fuzzy Systems Association (IFSA), and the Phi Tau Phi Scholastic Honor
Society. He was an administrative committee member of the Chinese Fuzzy Systems Association (CFSA) from 1998 to 2004. He is
an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics - Part C, an Associate Editor of the IEEE Computational
Intelligence Magazine, an Associate Editor of the Journal of Intelligent & Fuzzy Systems, an Editorial Board Member of the
International Journal of Applied Intelligence, an Editor of the New Mathematics and Natural Computation Journal, an Associate
Editor of the International Journal of Fuzzy Systems, an Editorial Board Member of the International Journal of Information
and Communication Technology, an Editorial Board Member of the WSEAS Transactions on Systems, an Editor of the Journal of
Advanced Computational Intelligence and Intelligent Informatics, an Associate Editor of the WSEAS Transactions on Computers,
an Editorial Board Member of the International Journal of Computational Intelligence and Applications, an Editorial Board
Member of the Advances in Fuzzy Sets and Systems Journal, an Editor of the International Journal of Soft Computing, an Editor
of the Asian Journal of Information Technology, an Editorial Board Member of the International Journal of Intelligence Systems
Technologies and Applications, an Editor of the Asian Journal of Information Management, an Associate Editor of the International
Journal of Innovative Computing, Information and Control, and an Editorial Board Member of the International Journal of Computer
Applications in Technology. He was an Editor of the Journal of the Chinese Grey System Association from 1998 to 2003. He is
listed in International Who's Who of Professionals, Marquis Who's Who in the World, and Marquis Who's Who in Science and Engineering. 相似文献
9.
Toyoaki Nishida Nobuhiko Fujihara Shintaro Azechi Kaoru Sumi Hiroyuki Yano Takashi Hirata 《New Generation Computing》1999,17(4):417-427
In this paper, we propose as a new challenge a public opinion channel which can provide a novel communication medium for sharing
and exchanging opinions in a community. Rather than simply developing a means of investigating public opinion, we aim at an
active medium that can facilitate mutual understanding, discussion, and public opinion formation. First, we elaborate the
idea of public opinion channels and identify key issues. Second, we describe our first step towards the goal using the talking
virtualized egos metaphor. Finally, we discuss a research agenda towards the goal.
Toyoaki Nishida, Dr.Eng.: He is a professor of Department of Information and Communication Engineering, School of Engineering, The University of Tokyo.
He received the B.E., the M.E., and the Doctor of Engineering degrees from Kyoto University in 1977, 1979, and 1984 respectively.
His research centers on artificial intelligence in general. His current research focuses on community computing and support
systems, including knowledge sharing, knowledge media, and agent technology. He has been leading the Breakthrough 21 Nishida
Project, sponsored by Ministry of Posts and Telecommunications, Japan, aiming at understanding and assisting networked communities.
Since 1997, he is a trustee for JSAI (Japanese Society for Artificial Intelligence), and serves as the program chair of 1999
JSAI Annual Convention. He is an area editor (intelligent systems) of New Generation Computing and an editor of Autonomous
Agents and Multiagent Systems.
Nobuhiko Fujihara, Ph.D.: He is a fellow of Breakthrough 21 Nishida project, Communications Research Laboratory sponsored by Ministry of Posts and
Telecommunications, Japan. He received the B.E., the M.E., and the Ph.D. in Human Sciences degrees from Osaka University in
1992, 1994, and 1998 respectively. He has a cognitive psychological background. His current research focuses on: (1) cognitive
psychological analysis of human behavior in a networked community, (2) investigation of information comprehension process,
(3) assessment and proposition of communication tools in networking society.
Shintaro Azechi: He is a fellow of Breakthrough 21 Nishida project, Communications Research Laboratory sponsored by Ministry of Posts and
Telecommunications, Japan. He received the B.E. and the M.E. of Human Sciences degrees from Osaka University in 1994 and 1996
respectively. He is a Doctoral Candidate of Graduate School of Human Sciences, Osaka University. His current researches focus
on (1) human behavior in networking community (2) social infomation process in human mind (3) development of acessment technique
for communication tools in networkingsociety. His approach is from social psychological view.
Kaoru Sumi, Dr.Eng.: She is a Researcher of Breakthrough 21 Nishida Project. She received her Bachelor of Science at School of Physics, Science
University of Tokyo. She received her Master of Systems Management at Graduate School of Systems Management, The university
of Tsukuba. She received her Doctor of engineering at Graduate School of Engineering, The University of Tokyo. Her research
interests include knowledge-based systems, creativity supporting systems, and their applications for facilitating human collaboration.
She is a member of the Information Processing Society of Japan (IPSJ), the Japanese Society for Artificial Intelligence (JSAI).
Hiroyuki Yano, Dr.Eng.: He is a senior research official of Kansai Advanced Research Center, Communications Research Laboratory, Ministry of Posts
and Telecommunications. He received the B.E., the M.E., and the Doctor of Engineering degrees from Tohoku University in 1986,
1988, and 1993 respectively. His interests of research include cognitive mechanism of human communications. His current research
focuses on discourse structure, human interface, and dialogue systems for human natural dialogues. He is a member of the Japanese
Society for Artificial Intelligence, the Association for Natural Language Processing, and the Japanese Cognitive Science Society.
Takashi Hirata: He is a doctor course student in Graduate School of Information Scienc at Nara Institute of Science and Technology (NAIST).
He received a master of engineering from NAIST in 1998. His research interest is knowledge media and knowledge sharing. He
is a member of Information Processing Society of Japan (IPSJ), Japan Association for Artificial Intelligence (JSAI) and The
Institute of Systems, Control and Information Engineers (ISCIE). 相似文献
10.
11.
This paper proposes a new, efficient algorithm for extracting similar sections between two time sequence data sets. The algorithm,
called Relay Continuous Dynamic Programming (Relay CDP), realizes fast matching between arbitrary sections in the reference
pattern and the input pattern and enables the extraction of similar sections in a frame synchronous manner. In addition, Relay
CDP is extended to two types of applications that handle spoken documents. The first application is the extraction of repeated
utterances in a presentation or a news speech because repeated utterances are assumed to be important parts of the speech.
These repeated utterances can be regarded as labels for information retrieval. The second application is flexible spoken document
retrieval. A phonetic model is introduced to cope with the speech of different speakers. The new algorithm allows a user to
query by natural utterance and searches spoken documents for any partial matches to the query utterance. We present herein
a detailed explanation of Relay CDP and the experimental results for the extraction of similar sections and report results
for two applications using Relay CDP.
Yoshiaki Itoh has been an associate professor in the Faculty of Software and Information Science at Iwate Prefectural University, Iwate,
Japan, since 2001. He received the B.E. degree, M.E. degree, and Dr. Eng. from Tokyo University, Tokyo, in 1987, 1989, and
1999, respectively. From 1989 to 2001 he was a researcher and a staff member of Kawasaki Steel Corporation, Tokyo and Okayama.
From 1992 to 1994 he transferred as a researcher to Real World Computing Partnership, Tsukuba, Japan. Dr. Itoh's research
interests include spoken document processing without recognition, audio and video retrieval, and real-time human communication
systems. He is a member of ISCA, Acoustical Society of Japan, Institute of Electronics, Information and Communication Engineers,
Information Processing Society of Japan, and Japan Society of Artificial Intelligence.
Kazuyo Tanaka has been a professor at the University of Tsukuba, Tsukuba, Japan, since 2002. He received the B.E. degree from Yokohama
National University, Yokohama, Japan, in 1970, and the Dr. Eng. degree from Tohoku University, Sendai, Japan, in 1984. From
1971 to 2002 he was research officer of Electrotechnical Laboratory (ETL), Tsukuba, Japan, and the National Institute of Advanced
Science and Technology (AIST), Tsukuba, Japan, where he was working on speech analysis, synthesis, recognition, and understanding,
and also served as chief of the speech processing section. His current interests include digital signal processing, spoken
document processing, and human information processing. He is a member of IEEE, ISCA, Acoustical Society of Japan, Institute
of Electronics, Information and Communication Engineers, and Japan Society of Artificial Intelligence.
Shi-Wook Lee received the B.E. degree and M.E. degree from Yeungnam University, Korea and Ph.D. degree from the University of Tokyo in
1995, 1997, and 2001, respectively. Since 2001 he has been working in the Research Group of Speech and Auditory Signal Processing,
the National Institute of Advanced Science and Technology (AIST), Tsukuba, Japan, as a postdoctoral fellow. His research interests
include spoken document processing, speech recognition, and understanding. 相似文献
12.
Decision process modeling across internet and real world by double helical model of chance discovery
A case is presented for the double helical processing of chance discovery — human and an automated data mining system co-work,
each progressing spirally toward the creative reconstruction of ideas. Especially, the discovery of what we call chances,
significant novel events, is realized in this process. The example shown here is an application to questionnaire analysis
for understanding new behaviors of Internet users. Internet users are born and bred with face-to-face human relations in the
real world, but their interactions with WWW are distilling new value-criteria, keeping personal real-world senses of rationality,
empathy, ethics, etc. In our method for aiding the discovery based on the double-helix model, the in-depth interaction of
the Internet, the fundamental (i.e., common both in the Internet and in the real world) characters and the behaviors of people
are discussed with revealing unnoticed value-criteria.
Yukio Ohsawa, Ph.D.: BS, U. Tokyo, 1990, MS, 1992, DS, 1995. Research associate Osaka U. (1995). Associate prof. Univ. of Tsukuba (1999-) and
also researcher of Japan Science and Technology Corp (2000-). He has been working for the program com. of the Workshop on
Multiagent and Cooperative Computation, Annual Conf. Japanese Soc. Artificial Intelligence, International Conf. MultiAgent
Systems, Discovery Science, Pacific Asia Knowledge Discovery and Data Mining, International Conference on Web Intelligence,
etc. He chaired the First International Workshop of Japanese Soc. on Artificial Intelligence, Chance Discovery International
Workshop Series and the Fall Symposium on Chance Discovery from AAAI. Guest editor of Special Issues on Chance Discovery for
the Journal of Contingencies and Crisis Management, Journal of Japan Society for Fuzzy Theory and intelligent informatics,
regular member of editorial board for Japanese Society of Artificial Intelligence. Currently he is authoring book “Chance
Discovery” from Springer Verlag, “Knowledge Managament” from Ohmsha etc.
Yumiko Nara, Ph.D.: She graduated from Nara Women’s University in 1987 and obtained her Master and Ph.D. degrees from Nara Women’s University
respectively in 1993 and 1996. From 1987 through 1990 she worked for Sumitomo Bank. She is at Osaka Kyoiku University as lecturer
(1997–2001) and as associate professor (2002-). She serves as a member of The Japan Sociological Society, The Japan Association
for Social and Economic Systems Studies, The Japan Society of Home Economics, and The Japan Risk Management Society. She is
an editorial committee member of the journal of Social and Economic Systems Studies (2001-), and a council member of The Japan
Risk Management Society (1997-). In 1997, she received research awards from The Japan Society of Home Economics and The Japan
Risk Management Society for studies on risk management. 相似文献
13.
Real robots should be able to adapt autonomously to various environments in order to go on executing their tasks without breaking
down. They achieve this by learning how to abstract only useful information from a huge amount of information in the environment
while executing their tasks. This paper proposes a new architecture which performs categorical learning and behavioral learning
in parallel with task execution. We call the architectureSituation Transition Network System (STNS). In categorical learning, it makes a flexible state representation and modifies it according to the results of behaviors.
Behavioral learning is reinforcement learning on the state representation. Simulation results have shown that this architecture
is able to learn efficiently and adapt to unexpected changes of the environment autonomously.
Atsushi Ueno, Ph.D.: He is a research associate in the Artificial Intelligence Laboratory at the Graduate School of Information Science at the
Nara Institute of Science and Technology (NAIST). He received the B.E., the M.E., and the Ph.D. degrees in aeronautics and
astronautics from the University of Tokyo in 1991, 1993, and 1997 respectively. His research interest is robot learning and
autonomous systems. He is a member of Japan Association for Artificial Intelligence (JSAI).
Hideaki Takeda, Ph.D.: He is an associate professor in the Artificial Intelligence Laboratory at the Graduate School of Information Science at the
Nara Institute of Science and Technology (NAIST). He received his Ph.D. in precision machinery engineering from the University
of Tokyo in 1991. He has conducted research on a theory of intelligent computer-aided design systems, in particular experimental
study and logical formalization of engineering design. He is also interested in multiagent architectures and ontologies for
knowledge base systems. 相似文献
14.
15.
Chance discovery and scenario analysis 总被引:1,自引:0,他引:1
Scenario analysis is often used to identify possible chance events. However, no formal, computational theory yet exists for
scenario analysis. In this paper, we commence development of such a theory by defining a scenario in an argumentation context,
and by considering the question of when two scenarios are the same.
Peter McBurney, Ph.D.: He is a lecturer in the Department of Computer Science at the University of Liverpool, UK. He has a first degree in Pure
Mathematics and Statistics from the Australian National University, Canberra, and a Ph.D in Artificial Intelligence from the
University of Liverpool. His Ph.D research concerned the design of protocols for rational interaction between autonomous software
agents, and he has several publications in this area. Prior to completing his Ph.D he worked as a consultant to major telecommunications
network operating companies, primarily in mobile and satellite communications, where his work involved strategic marketing
programming.
Simon Parsons, Ph.D.: He is currently visiting the Sloan School of Management at Massachusetts Institute of Technology (MIT) and is a Visiting
Professor at the University of Liverpool, UK. He holds a first degree in Engineering from Cambridge University, and an MSc
and Ph.D in Artificial Intelligence from the University of London. In 1998, he was awarded the Young Engineer Achievement
Medal of the British Institution of Electrical Engineers (IEE), the largest professional engineering society in Europe. He
has published 4 books and over 100 articles on autonomous agents and multi-agent systems, uncertainty formalisms, risk and
decision-making. 相似文献
16.
There is a common misconception that the automobile industry is slow to adapt new technologies, such as artificial intelligence
(AI) and soft computing. The reality is that many new technologies are deployed and brought to the public through the vehicles
that they drive. This paper provides an overview and a sampling of many of the ways that the automotive industry has utilized
AI, soft computing and other intelligent system technologies in such diverse domains like manufacturing, diagnostics, on-board
systems, warranty analysis and design.
Oleg Gusikhin received the Ph.D. degree from St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences
and the M.B.A. degree from the University of Michigan, Ann Arbor, MI. Since 1993, he has been with the Ford Motor Company,
where he is a Technical Leader at the Ford Manufacturing and Vehicle Design Research Laboratory, and is engaged in different
functional areas including information technology, advanced electronics manufacturing, and research and advanced engineering.
He has also been involved in the design and implementation of intelligent control applications for manufacturing and vehicle
systems. He is the recipient of the 2004 Henry Ford Technology Award. He holds two U.S. patents and has published over 30
articles in refereed journals and conference proceedings. He is an Associate Editor of the International Journal of Flexible Manufacturing Systems. He is also a Certified Fellow of the American Production and Inventory Control Society and a member of IEEE and SME.
Nestor Rychtyckyj received the Ph.D. degree in computer science from Wayne State University, Detroit, MI. He is a technical expert in Artificial
Intelligence at Ford Motor Company, Dearborn, MI, in Advanced and Manufacturing Engineering Systems. His current research
interests include the application of knowledge-based systems for vehicle assembly process planning and scheduling. Currently,
his responsibilities include the development of automotive ontologies, intelligent manufacturing systems, controlled languages,
machine translation and corporate terminology management. He has published more than 30 papers in referred journals and conference
proceedings. He is a member of AAAI, ACM and the IEEE Computer Society.
Dimitar P. Filev received the Ph.D. degree in electrical engineering from the Czech Technical University, Prague, in 1979. He is a Senior
Technical Leader, Intelligent Control and Information Systems with Ford Research and Advanced Engineering specializing in
industrial intelligent systems and technologies for control, diagnostics and decision making. He is conducting research in
systems theory and applications, modeling of complex systems, intelligent modeling and control, and has published 3 books
and over 160 articles in refereed journals and conference proceedings. He holds 14 granted U.S. patents and numerous foreign
patents in the area of industrial intelligent systems He is the recipient of the 1995 Award for Excellence of MCB University
Press. He was awarded the Henry Ford Technology Award four times for development and implementation of advanced intelligent
control technologies. He is an Associate Editor of International Journal of General Systems and International Journal of Approximate Reasoning. He is a member of the Board of Governors of the IEEE Systems, Man and Cybernetics Society and President of the North American
Fuzzy Information Processing Society (NAFIPS). 相似文献
17.
Human-centered ontology engineering: The HCOME methodology 总被引:1,自引:1,他引:0
The fast emergent and continuously evolving areas of the Semantic Web and Knowledge Management make the incorporation of ontology engineering tasks in knowledge-empowered organizations and in the World Wide Web more than necessary. In such environments, the development and evolution of ontologies must be seen as a dynamic process that has to be supported through the entire ontology life cycle, resulting to living ontologies. The aim of this paper is to present the Human-Centered Ontology Engineering Methodology (HCOME) for the development and evaluation of living ontologies in the context of communities of knowledge workers. The methodology aims to empower knowledge workers to continuously manage their formal conceptualizations in their day-to-day activities and shape their information space by being actively involved in the ontology life cycle. The paper also demonstrates the Human Centered ONtology Engineering Environment, HCONE, which can effectively support this methodology.
George VOUROS (B.Sc. Ph.D.) holds a B.Sc. in Mathematics, and a Ph.D. in Artificial Intelligence all from the University of Athens, Greece. Currently he is a Professor and Head of the Department of Information and Communication Systems Engineering, University of the Aegean, Greece, Director of the AI Lab and head of the Intelligent and Cooperative Systems Group (InCoSys). He has done research in the areas of Expert Systems, Knowledge management, Collaborative Systems, Ontologies, and Agent-based Systems. His published scientific work includes more than 80 book chapters, journal and national and international conference papers in the above-mentioned themes. He has served as program chair and chair and member of organizing committees of national and international conferences on related topics.
Konstantinos KOTIS (B.Sc. Ph.D.) holds a B.Sc. in Computation from the University of Manchester, UK (1995), and a Ph.D. in Information Management from University of the Aegean, Greece (May, 2005). Currently, he is a member of the Intelligent and Cooperative Systems Group (InCoSys) and director of the Information Technology Department of the Prefecture of Samos, Greece. His research and published work concerns Knowledge management, Ontology Engineering and Semantic Web. He has lectured in several IT seminars and has served as member of program committees in international workshops. 相似文献
18.
A Web information visualization method based on the document set-wise processing is proposed to find the topic stream from
a sequence of document sets. Although the hugeness as well as its dynamic nature of the Web is burden for the users, it will
also bring them a chance for business and research if they can notice the trends or movement of the real world from the Web.
A sequence of document sets found on the Web, such as online news article sets is focused on in this paper. The proposed method
employs the immune network model, in which the property of memory cell is used to find the topical relation among document
sets. After several types of memory cell models are proposed and evaluated, the experimental results show that the proposed
method with memory cell can find more topic streams than that without memory cell.
Yasufumi Takama, D.Eng.: He received his B.S., M.S. and Dr.Eng. degrees from the University of Tokyo in 1994, 1996, and 1999, respectively. From 1999
to 2002 he was with Tokyo Institute of Technology, Japan. Since 2002, he has been Associate Professor of Department of Electronic
Systems and Engineering, Tokyo Metropolitan Institute of Technology, Tokyo, Japan. He has also been participating in JST (Japan
Science and Technology Corporation) since October 2000. His current research interests include artificial intelligence, Web
information retrieval and visualization systems, and artificial immune systems. He is a member of JSAI (Japanese Society of
Artificial Intelligence), IPS J (Information Processing Society of Japan), and SOFT (Japan Society for Fuzzy Theory and Systems).
Kaoru Hirota, D.Eng.: He received his B.E., M.E. and Dr.Eng. degrees in electronics from Tokyo Institute of Technology, Tokyo, Japan, in 1974,
1976, and 1979, respectively. From 1979 to 1982 and from 1982 to 1995 he was with the Sagami Institute of Technology and Hosei
University, respectively. Since 1995, he has been with the Interdisciplinary Graduate School of Science and Technology, Tokyo
Institute of Technology, Yokohama, Japan. He is now a department head professor of Department of Computational Intelligence
and Systems Science. Dr.Hirota is a member of IFSA (International Fuzzy Systems Association (Vice President 1991–1993), Treasurer
1997–2001), IEEE (Associate Editors of IEEE Transactions on Fuzzy Systems (1993–1995) and IEEE Transactions on Industrial
Electronics (1996–2000)) and SOFT (Japan Society for Fuzzy Theory and Systems (Vice President 1995–1997, President 2001–2003)),
and he is an editor in chief of Int. J. of Advanced Computational Intelligence. 相似文献
19.
To achieve smooth real-world interaction between people and computers, we developed a system that displays a three-dimensional
computer-graphic human-like image from the waist up (anthropomorphic software robot: hereinafter “robot”) on the display,
that interactively sees and hears, and that has fine and detailed control functions such as facial expressions, line of sight,
and pointing at targets with its finger. The robot visually searches and identifies persons and objects in real space that
it has learned in advance (registered space, which was our office in this case), manages the history information of the places
and times it found objects and/or persons, and tells the user, indicating their three-dimensional positions with line of sight
and its finger. It interactively learns new objects and persons with line of with their names and owners. By using this function,
the robot can engage in simple dialogue (do a task) with the user.
Osamu Hasegawa, Ph.D.: He received the B.E. and M.E. degrees from the Science University of Tokyo, in 1988, 1990 respectively. He received Ph.D.
degree from the University of Tokyo, in 1993. Currently, he is a senior research scientist at the Electrotechnical Laboratory
(ETL), Tsukuba, Japan. His research interests include Computer Vision and Multi-modal Human Interface. Dr. Hasegawa is a member
of the AAAI, the Institute of Electronics, Information and Communication Engineers, Japan (IEICE), Information Processing
Society of Japan and others.
Katsuhiko Sakaue, Ph.D.: He received the B.E., M.E., and Ph.D. degrees all in electronic engineering from the University of Tokyo, in 1976, 1978
and 1981, respectively. In 1981, he joined the Electrotechnical Laboratory, Ministry of International Trade and Industry,
and engaged in researches in image processing and computer vision. He received the Encouragement Prize in 1979 from IEICE,
and the Paper Award in 1985 from Information Processing Society of Japan. He is a member of IEICE, IEEE, IPSJ, ITE.
Satoru Hayamizu, Ph.D.: He is a leader of Interactive Intermodal Integration Lab. at Electrotechnical Laboratory. He received the B.E., M.E., Ph.D.
degrees from Tokyo University. Since 1981, he has been working on speech recognition, spoken dialogue, and communication with
artifacts. From 1989 to 1990, he was a visiting scholar in Carnegie Mellon University and in 1994 a visiting scientist in
LIMSI/CNRS. 相似文献
20.
A. Nomura M. Ichikawa R. H. Sianipar H. Miike 《Pattern Recognition and Image Analysis》2008,18(2):289-299
The present paper proposes an edge detection algorithm with the FitzHugh-Nagumo reaction-diffusion equations. The authors
previously found that the discretized version of the reaction-diffusion equations organizes a static pulse at an edge position
for a binary image or for a binarized image with a fixed threshold level. By finding static pulses from the result of the
discretized version, we can detect edges. The algorithm proposed here furthermore detects edges from a gray-scale image. In
order to handle the gray-scale image, the proposed algorithm computes a local average level of image brightness distribution
with a simple diffusion equation and simultaneously utilizes the average level as the threshold level of the reaction-diffusion
equations. That is, the local average level obtained by the simple diffusion equation modulates the threshold level of the
reaction-diffusion equations. The proposed set of the reaction-diffusion equations coupled with the simple diffusion equation
causes a pulse at a true edge position and also a pseudopulse at a pseudoposition. Thus, we additionally propose an algorithm
that eliminates the pseudopulse and extracts the true one. We apply the proposed algorithm and a previous representative algorithm
to well-known test images for confirming the validity of the proposed algorithm.
The text was submitted by the authors in English.
Atsushi Nomura, born in 1966, obtained his Doctor of Engineering degree from Yamaguchi University, Japan, in 1994. Since 2001 he has been
an associate professor of Faculty of Education at the university. His fields of research are image processing and computer
vision. He is an author or coauthor of two book chapters and 13 research papers. He is a member of the Information Processing
Society of Japan; the Physical Society of Japan; the Institute of Electronics, Information, and Communication Engineers; and
the Optical Society of America.
Makoto Ichikawa, born in 1965, obtained his Ph.D. degree from Osaka City University, Japan, in 1994. He was a post-doctoral fellow at Centre
for Vision Research, York University, Canada. In 1998, he joined Faculty of Engineering, Yamaguchi University, Japan. Since
2006 he has been an associate professor of the Department of Psychology, Faculty of Letters, Chiba University, Japan. His
fields of research are spatiotemporal aspects of perception, and integration processing in perception and cognition. He is
the author or coauthor of five books and 20 research papers. He is a member of the Japan Society of KANSEI Engineering, the
Japanese Psychological Association, Vision Society of Japan, and Vision Sciences Society.
Rismon Hasiholan Sianipar, born in 1977, obtained his Master of Engineering degree from Mataram University, Indonesia, in 2002. In 2004, he entered
Yamaguchi University as a research associate. He is currently a Ph.D. candidate in the Graduate School of Science and Engineering,
Yamaguchi University, Japan. He is the coauthor of one book chapter and 2 research papers. His fields of research are signal
and image processing.
Hidetoshi Miike, born in 1948, obtained his Doctor of Engineering degree from Kyushu University, Japan in 1976. In 1976, he joined Faculty
of Engineering, Yamaguchi University. Since 1991, he has been a professor of the university. His research interests include
nonlinear sciences and fluid dynamics. He is a coauthor of 5 books and more than 100 research papers. He is a member of the
Information Processing Society of Japan, the Physical Society of Japan, IEEE Computer Society, and the American Association
for the Advancement of Science. 相似文献