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dc.contributor.authorMartin, P
dc.contributor.authorEklund, P
dc.date.accessioned2020-02-25T05:38:27Z
dc.date.available2020-02-25T05:38:27Z
dc.date.issued1999
dc.identifier.issn1389-1286
dc.identifier.doi10.1016/S1389-1286(99)00019-5
dc.identifier.urihttp://hdl.handle.net/10072/119412
dc.description.abstractThe paper argues for the use of general and intuitive knowledge representation languages (and simpler notational variants, e.g. subsets of natural languages) for indexing the content of Web documents and representing knowledge within them. We believe that these languages have advantages over metadata languages based on the Extensible Mark-up Language (XML). Indeed, the retrieval of precise information is better supported by languages designed to represent semantic content and support logical inference, and the readability of such a language eases its exploitation, presentation and direct insertion within a document (thus also avoiding information duplication). We advocate the use of Conceptual Graphs and simpler notational variants that enhance knowledge readability. To further ease the representation process, we propose techniques allowing users to leave some knowledge terms undeclared. We also show how lexical, structural and knowledge-based techniques may be combined to retrieve or generate knowledge or Web documents. To support and guide the knowledge modeling approach, we present a top-level ontology of 400 concept and relation types. We have implemented these features in a Web-accessible tool named WebKB2, and show examples to illustrate them.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier Science
dc.publisher.placeNetherlands
dc.relation.ispartofpagefrom1403
dc.relation.ispartofpageto1419
dc.relation.ispartofissue11-16
dc.relation.ispartofjournalComputer Networks
dc.relation.ispartofvolume31
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchTechnology
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode09
dc.subject.fieldofresearchcode10
dc.titleEmbedding Knowledge in Web Documents
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.hasfulltextNo Full Text
gro.griffith.authorEklund, Peter W.
gro.griffith.authorMartin, Philippe A.


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