共查询到10条相似文献,搜索用时 137 毫秒
1.
XFlavor: providing XML features in media representation 总被引:1,自引:1,他引:0
We present XFlavor, a framework for providing XML representation of multimedia data. XFlavor can be used to convert multimedia
data back and forth between binary and XML representations. Compared to bitstreams, XML documents are easier to access and
manipulate, and consequently, the development of multimedia processing software is greatly facilitated, as one generic XML
parser can be used to read and write different types of data in XML form.
相似文献
Alexandros EleftheriadisEmail: |
2.
XML technologies have been recently introduced in network management towards alleviating limitations of SNMP. The XML W3C
standard, along with XML technologies has the potential to boost open, interoperable, cost-effective and standards-based management
solutions. This paper highlights recent efforts towards XML network management and introduces an architecture supporting XML-based
network management applications. This architecture specifies a runtime environment that parses XML documents containing composite
operations for individual devices, as well as for heterogeneous mutli-vendor networks. Management operations in the scope
of XML documents are defined in a programmable fashion based on an XML-based composition language supporting aggregations
of elementary operations, looping commands, conditional statements, as well as simple rules signifying the occurrence of specific
events. The introduced environment allows network managers to define management operations featuring high-level semantics
and accordingly produce sophisticated applications through XML authoring. Following the illustration of the architecture,
its composition language and issues relating to security and error handling, the paper ends up presenting a prototype implementation,
along with associated performance evaluation results.
相似文献
Dimitris AlexopoulosEmail: |
3.
SVM-based Interactive Document Retrieval with Active Learning 总被引:1,自引:0,他引:1
This paper describes an application of SVM (Support Vector Machines) to interactive document retrieval using active learning.
Some works have been done to apply classification learning like SVM to relevance feedback and have obtained successful results.
However they did not fully utilize characteristic of example distribution in document retrieval. We propose heuristics to
bias document showing for user’s judgement according to distribution of examples in document retrieval. This heuristics is
executed by selecting examples to show a user in neighbors of positive support vectors, and it improves learning efficiency.
We implemented a SVM-based interactive document retrieval system using our proposed heuristics, and compared it with conventional
systems like Rocchio-based system and a SVM-based system without the heuristics. We conducted systematic experiments using
large data sets including over 500,000 newspaper articles and confirmed our system outperformed other ones.
相似文献
Seiji YamadaEmail: |
4.
Due to the increase of XML-based applications, XML schema design has become an important task. One approach is to consider
conceptual schemas as a basis for generating XML documents compliant to consensual information of specific domains. However,
the conversion of conceptual schemas to XML schemas is not a straightforward process and inconvenient design decisions can
lead to a poor query processing on XML documents generated. This paper presents a conversion approach which considers data
and query workload estimated for XML applications, in order to generate an XML schema from a conceptual schema. Load information
is used to produce XML schemas which can respond well to the main queries of an XML application. We evaluate our approach
through a case study carried out on a native XML database. The experimental results demonstrate that the XML schemas generated
by our methodology contribute to a better query performance than related approaches.
相似文献
Ronaldo dos Santos MelloEmail: |
5.
XML plays an important role as the standard language for representing structured data for the traditional Web, and hence many
Web-based knowledge management repositories store data and documents in XML. If semantics about the data are formally represented
in an ontology, then it is possible to extract knowledge: This is done as ontology definitions and axioms are applied to XML
data to automatically infer knowledge that is not explicitly represented in the repository. Ontologies also play a central
role in realizing the burgeoning vision of the semantic Web, wherein data will be more sharable because their semantics will
be represented in Web-accessible ontologies. In this paper, we demonstrate how an ontology can be used to extract knowledge
from an exemplar XML repository of Shakespeare’s plays. We then implement an architecture for this ontology using de facto
languages of the semantic Web including OWL and RuleML, thus preparing the ontology for use in data sharing. It has been predicted
that the early adopters of the semantic Web will develop ontologies that leverage XML, provide intra-organizational value
such as knowledge extraction capabilities that are irrespective of the semantic Web, and have the potential for inter-organizational
data sharing over the semantic Web. The contribution of our proof-of-concept application, KROX, is that it serves as a blueprint
for other ontology developers who believe that the growth of the semantic Web will unfold in this manner.
相似文献
Henry M. KimEmail: |
6.
Krishnaprasad Thirunarayan Trivikram Immaneni 《Journal of Intelligent Information Systems》2009,32(2):139-162
Text search engines are inadequate for indexing and searching XML documents because they ignore metadata and aggregation structure
implicit in the XML documents. On the other hand, the query languages supported by specialized XML search engines are very
complex. In this paper, we present a simple yet flexible query language, and develop its semantics to enable intuitively appealing
extraction of relevant fragments of information while simultaneously falling back on retrieval through plain text search if necessary. Our approach combines and generalizes several available techniques to obtain precise
and coherent results.
相似文献
Trivikram ImmaneniEmail: URL: http://www.cs.wright.edu/~tkprasad |
7.
Relevance feedback has recently emerged as a solution to the problem of improving the retrieval performance of an image retrieval
system based on low-level information such as color, texture and shape features. Most of the relevance feedback approaches
limit the utilization of the user’s feedback to a single search session, performing a short-term learning. In this paper we
present a novel approach for short and long term learning, based on the definition of an adaptive similarity metric and of
a high level representation of the images. For short-term learning, the relevant and non-relevant information given by the
user during the feedback process is employed to create a positive and a negative subspace of the feature space. For long-term
learning, the feedback history of all the users is exploited to create and update a representation of the images which is
adopted for improving retrieval performance and progressively reducing the semantic gap between low-level features and high-level
semantic concepts. The experimental results prove that the proposed method outperforms many other state of art methods in
the short-term learning, and demonstrate the efficacy of the representation adopted for the long-term learning.
相似文献
Annalisa FrancoEmail: |
8.
RRSi: indexing XML data for proximity twig queries 总被引:2,自引:2,他引:0
Twig query pattern matching is a core operation in XML query processing. Indexing XML documents for twig query processing
is of fundamental importance to supporting effective information retrieval. In practice, many XML documents on the web are
heterogeneous and have their own formats; documents describing relevant information can possess different structures. Therefore
some “user-interesting” documents having similar but non-exact structures against a user query are often missed out. In this
paper, we propose the RRSi, a novel structural index designed for structure-based query lookup on heterogeneous sources of XML documents supporting
proximate query answers. The index avoids the unnecessary processing of structurally irrelevant candidates that might show
good content relevance. An optimized version of the index, oRRSi, is also developed to further reduce both space requirements and computational complexity. To our knowledge, these structural
indexes are the first to support proximity twig queries on XML documents. The results of our preliminary experiments show
that RRSi and oRRSi based query processing significantly outperform previously proposed techniques in XML repositories with structural heterogeneity.
相似文献
Vincent T. Y. NgEmail: |
9.
Document engineering is the computer science discipline that investigates systems for documents in any form and in all media.
As with the relationship between software engineering and software, document engineering is concerned with principles, tools
and processes that improve our ability to create, manage, and maintain documents (). The ACM Symposium on Document Engineering is an annual meeting of researchers active in document engineering: it is sponsored
by ACM by means of the ACM SIGWEB Special Interest Group. In this editorial, we first point to work carried out in the context
of document engineering, which are directly related to multimedia tools and applications. We conclude with a summary of the
papers presented in this special issue.
相似文献
Luiz Fernando Gomes SoaresEmail: |
10.
Ha Manh Tran Christoph Lange Georgi Chulkov Jürgen Schönwälder Michael Kohlhase 《Journal of Network and Systems Management》2009,17(3):285-308
The Web has become an important knowledge source for resolving system installation problems and for working around software
bugs. In particular, web-based bug tracking systems offer large archives of useful troubleshooting advice. However, searching
bug tracking systems can be time consuming since generic search engines do not take advantage of the semi-structured knowledge
recorded in bug tracking systems. We present work towards a semantics-based bug search system which tries to take advantage
of the semi-structured data found in many widely used bug tracking systems. We present a study of bug tracking systems and
we describe how to crawl them in order to extract semi-structured data. We describe a unified data model to store bug tracking
data. The model has been derived from the analysis of the most popular systems. Finally, we describe how the crawled data
can be fed into a semantic search engine to facilitate semantic search.
相似文献
Michael KohlhaseEmail: |