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Conference Paper: A semantic similarity approach to electronic document modeling and integration

TitleA semantic similarity approach to electronic document modeling and integration
Authors
KeywordsComputers
Computer engineering computers
internet
Issue Date2000
PublisherIEEE Computer Society.
Citation
The 1st International Conference on Web Information Systems Engineering, Hong Kong, China, 19-21 June 2000. In International Conference on Web Information Systems Engineering Workshops Proceedings, 2000, v. 1, p. 116-124 How to Cite?
AbstractThe World Wide Web is an enormous collection of information resources serving various purposes. However, the diversity of the Web information, as well as its related formats, makes it very difficult for users to efficiently search and obtain the information they require. The reason for the difficulty is because most of the information uploaded on to the Web is unstructured or semi-structured. Many meta-data models have been proposed to respond to this problem. These models attempt to provide a certain kind of general description for the Web information in order to improve its structuredness. Although these documents consist of the largest portion of the Web information or Web resources, few meta-data models deal with ill-structured Web documents by analyzing their semantic relations with each other. In this paper, we consider this huge set of Web information, called electronic documents. We propose a meta-data model called the EDM (Electronic Document Metadata) model. Using this model, we can extract the semantic characteristics from electronic documents and then use these characteristics to form a semantic electronic document model. This model, inversely, provides a basis for the analysis of semantic similarity between electronic documents and for electronic document integration. This document modeling and integration supports further manipulations on the electronic documents, such as document exchange, searching and evolution.
Persistent Identifierhttp://hdl.handle.net/10722/47021
ISSN

 

DC FieldValueLanguage
dc.contributor.authorSong, WWen_HK
dc.contributor.authorCheung, DWLen_HK
dc.contributor.authorTan, CJen_HK
dc.date.accessioned2007-10-30T07:04:27Z-
dc.date.available2007-10-30T07:04:27Z-
dc.date.issued2000en_HK
dc.identifier.citationThe 1st International Conference on Web Information Systems Engineering, Hong Kong, China, 19-21 June 2000. In International Conference on Web Information Systems Engineering Workshops Proceedings, 2000, v. 1, p. 116-124en_HK
dc.identifier.issn1550-6010en_HK
dc.identifier.urihttp://hdl.handle.net/10722/47021-
dc.description.abstractThe World Wide Web is an enormous collection of information resources serving various purposes. However, the diversity of the Web information, as well as its related formats, makes it very difficult for users to efficiently search and obtain the information they require. The reason for the difficulty is because most of the information uploaded on to the Web is unstructured or semi-structured. Many meta-data models have been proposed to respond to this problem. These models attempt to provide a certain kind of general description for the Web information in order to improve its structuredness. Although these documents consist of the largest portion of the Web information or Web resources, few meta-data models deal with ill-structured Web documents by analyzing their semantic relations with each other. In this paper, we consider this huge set of Web information, called electronic documents. We propose a meta-data model called the EDM (Electronic Document Metadata) model. Using this model, we can extract the semantic characteristics from electronic documents and then use these characteristics to form a semantic electronic document model. This model, inversely, provides a basis for the analysis of semantic similarity between electronic documents and for electronic document integration. This document modeling and integration supports further manipulations on the electronic documents, such as document exchange, searching and evolution.en_HK
dc.languageengen_HK
dc.publisherIEEE Computer Society.en_HK
dc.relation.ispartofInternational Conference on Web Information Systems Engineering Workshops Proceedings-
dc.rights©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectComputersen_HK
dc.subjectComputer engineering computersen_HK
dc.subjectinterneten_HK
dc.titleA semantic similarity approach to electronic document modeling and integrationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1550-6010&volume=1&spage=116&epage=124&date=2000&atitle=A+semantic+similarity+approach+to+electronic+document+modeling+and+integrationen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/WISE.2000.882382en_HK
dc.identifier.hkuros51959-

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