Is Semantic Web Technology Taking the Wrong Turn?

Developers create semantic Web technologies (SWTs) not only to overcome the syntactic, semantic data heterogeneity problem at design time but also to support uniform agreements on the meaning of data and processes at run time. As defined in the landmark article in the space, the greatest promises of the semantic Web and SWTs are: seamless interactions among agents (people and services) based on reliable communications and uniform data and process semantics; a solution to the heterogeneity and interoperability problem in data and processes via dynamic and automatic discovery and integration; and semantic correctness and dependability (including trust and explanation of reasoning results).     

Semantic Web与Agent的共生及融合

Web技术与Agent技术作为两种技术体系一直独立发展.但现在Web技术借鉴Agent技术的先进思想,基于Ontology对Web进行改造,提出了Semantic Web的概念.在Internet上必将是Semantic Web和Agent共同提供智能化、个性化的服务.而要想达到这个目的,首先必须解决Ontology的构造问题.文中在详细论述Semantic Web和Agent的基础上,探讨了Semantic Web与Agent的共生及融合关系,给出了共生及融合关系图,并设计了一个概念性的智能Web服务IWS模型.     

Semantic Web与Agent的共生及融合

Web技术与Agent技术作为两种技术体系一直独立发展。但现在Web技术借鉴Agent技术的先进思想，基于Ontology对Web进行改造，提出了Semantic Web的概念。在Internet上必将是Semantic Web和Agent共同提供智能化、个性化的服务。而要想达到这个目的，首先必须解决Ontology的构造问题。文中在详细论述Semantic Web和Agent的基础上，探讨了Semantic Web与Agent的共生及融合关系，给出了共生及融合关系图，并设计了一个概念性的智能Web服务IWS模型。     

Semantic Web,Agent和网络虚拟社会

1.引言最初的计算机是用于计算的设备。到了80年代,PC发展成多功能(如:游戏,文本处理和PowerPoint呈现等)的系统。现在计算机变成了接入互联网的入口。互联网技术正飞速发展,使人们足不出户就能处理很多和外界交互的事务。网络席卷全球,成为人们生活不可或缺的一部分。美国网址专家也是网址杂志的创办人凯利说:自网景公司于6年前申请上市以     

Semantic Email Addressing: The Semantic Web Killer App?

Email addresses, like telephone numbers, are opaque identifiers. They're often hard to remember, and, worse still, they change from time to time. Semantic email addressing (SEA) lets users send email to a semantically specified group of recipients. It provides all of the functionality of static email mailing lists, but because users can maintain their own profiles, they don't need to subscribe, unsubscribe, or change email addresses. Because of its targeted nature, SEA could help combat unintentional spam and preserve the privacy of email addresses and eve.n individual identities.     

Semantic Web研究综述

近年来,Semantic Web逐渐成为WWW领域的研究热点以及智能化网络服务和应用开发中的关键技术之一。归纳了Semantic Web技术的研究背景和主要发展历史。在分析了典型的Semantic Web概念后,给出了Semantic Web的定义。通过讨论Semantic Web构想的层次框架模型,指出了各个层次扮演的角色,并着重分析了Semantic Web的重要研究领域,指出了它们在Semantic Web构架中的核心作用。通过分析Semantic Web的应用领域和相关开发工具以及面临的问题和挑战,指明了Semantic Web研究和实践的方向。作为总结,给出了Semantic Web领域下一步的研究趋势。     

Semantic Web Services架构

正近年来,随着电子商务的兴起和蓬勃发展,Web应用从局部化发展到全球化,从B2C(Business-to-Customer)发展到B2B(Business-to-Business),从集中式发展到分布式。Web服务作为一种新兴的Web应用模式,是一个崭新的分布式计算模型,是Web上数据和信息集成的有效机制。从电子商务应用领域来看,复杂的应用连接和程序代码造成了电子商务应用的高维护代价和更新代价,而Web服务正好能解决这一问题,成为目前应用环境中最为理想的解决方案。Web Services是松散耦合的、可复用     

Can the World-Wide Web Bridge the Semantic Gap?

The World-Wide Web provides tremendous resources in Multimedia Data, Ubiquitous Interconnection, and Storage/Computing Power. In this short note, we raise but not answer the question: Can the WWW help bridge the Semantic Gap in Computer Vision? Even if the answer turns out to be NO, we hope that by exploring these resources, we may gain a deeper understanding of the Semantic Gap challenge.     

Web Classification Based on Latent Semantic Indexing

A new web document automatic classification algorithm based on Latent Semantic Indexing （LSIWAC）, is proposed in this paper. LSMAC uses the LSI based on Singular Value Decomposition （SVD） to compress the document vector space to lower dimensional space. Using the optimal clustering, LSIWAC can cluster part of web documents Then, LSIWAC uses the optimal discriminate transform to get feature vector from every clustering＇s discriminate features. Finally, it uses the conception classification algorithm to classify the rest documents. LSIWAC solves the high dimension problem and improves the precision of web classification.     

Anfragesprachen für das Semantic Web

Das Semantic Web wird seit dem visionären Artikel von Berners-Lee, Hendler und Lassila [3] allgemein als die nächste Evolutionsstufe des World Wide Web betrachtet. * Vorschläge an Prof.Dr. Frank Puppe <puppe@informatik.uni-wuerzburg.de> oder Dieter Steinbauer <dieter.steinbauer@schufa.de>Alle Aktuellen Schlagwörter seit 1988 finden Sie unter: www.ai-wuerzburg.de/as     

How is the Semantic Web evolving? A dynamic social network perspective

Finding how the Semantic Web has evolved can help understand the status of Semantic Web community and predict the diffusion of the Semantic Web. One of the promising applications of the Semantic Web is the representation of personal profiles using Friend of a Friend (FOAF). A key characteristic of such social networks is their continual change. However, extant analyses of social networks on the Semantic Web are essentially static in that the information about the change of social networks is neglected. To address the limitations, we analyzed the dynamics of a large-scale real-world social network in this paper. Social network ties were extracted from both within and between FOAF documents. The former was based on knows relations between persons, and the latter was based on revision relations. We found that the social network evolves in a speckled fashion, which is highly distributed. The network went through rapid increase in size at an early stage and became stabilized later. By examining the changes of structural properties over time, we identified the evolution patterns of social networks on the Semantic Web and provided evidence for the growth and sustainability of the Semantic Web community.     

Semantics on demand: Can a Semantic Wiki replace a knowledge base?

In the same way that Wikis have become the mechanism that has enabled groups of users to collaborate on the production of hypertexts on the web, Semantic Wikis promise a future of collaboration on the production of semantically linked and ontologically structured hypertexts. In this paper we describe our efforts to convert an existing ontologically structured web site called Framework Reference Model for Assessment (FREMA) into a Semantic Wiki specifically to enable community contribution. We compare a number of existing Semantic Wikis, and explore how the notion of semantics-on-demand affects a system's ability to control the creation of useful ontologies and annotations. The FREMA case study introduces a number of the problems we encountered and solved, and sets the template for others considering implementing web-based knowledge bases using Semantic Wikis. Our conclusions will contribute to the agenda for those implementing the next generation of Semantic Wikis.     

Ontology在Semantic Web Services中的应用综述

介绍了Web Services的基本原理和Ontology的基本概念。基于这两种技术的结合,简单描述了多种基于本体的Web语言的发展,并重点阐述其中的OWL语言及其在Web Services中应用OWL-S的主要内容。最后介绍本体在语义Web服务中的一些拓展性的应用。     

Is a GigaLIP Fast Enough?

The capability of large, data-intensive expert systems is determined not only by the cleverness and expertise of their knowledge manipulation algorithms and methods but also by the fundamental speeds of the computer systems upon which they are implemented. To date, logical inferences per second (LIPS) is used as the power metric of the knowledge processing capacity of an expert system implementation. We show why this simplistic metric is misleading. We relate the power metrics for conventional computer systems to LIPS and demonstrate wide discrepancies. We review the power of today's largest conventional mainframes, such as the IBM 3090/400 and the Cray Research Cray-2 and forecast the expected power of mainframes and specialized processors in the coming decade.     

Is Cybersecurity a Public Good?

Minds and Machines -     

The Semantic Web: Apotheosis of Annotation, but What Are Its Semantics?

This article discusses what kind of entity the proposed semantic Web is, principally by reference to the relationship of natural language structure to knowledge representation. The concept of the SW has two distinct origins, and this, bifurcation persists in two differing lines of SW research: one closely allied to notions of documents and natural language processing (NLP) and one not. These differences of emphasis or content carry with them different commitments about what it is to interpret a KR and what the interpretation method has to do with meaning in natural language.     

Semantic Computation in a Chinese Question-Answering System

This paper introduces a kind of semantic computation and presents how to combine it into our Chinese Question-Answering (QA) system. Based on two kinds of language resources, Hownet and Cilin, we present an approach to computing the similarity and relevancy between words. Using these results, we can calculate the relevancy between two sentences and then get the optimal answer for the query in the system. The calculation adopts quantitative methods and can be incorporated into QA systems easily, avoiding some difficulties in conventional NLP (Natural Language Processing) problems. The experiments show that the results are satisfactory.