Transforming and Enriching Documents for the Semantic Web

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dc.creatorRoesner, Dietmar
dc.creatorKunze, Manuela
dc.creatorKroetzsch, Sylke
dc.date2005-01-31
dc.date.accessioned2026-07-07T03:22:26Z
dc.date.available2026-07-07T03:22:26Z
dc.descriptionWe suggest to employ techniques from Natural Language Processing (NLP) and Knowledge Representation (KR) to transform existing documents into documents amenable for the Semantic Web. Semantic Web documents have at least part of their semantics and pragmatics marked up explicitly in both a machine processable as well as human readable manner. XML and its related standards (XSLT, RDF, Topic Maps etc.) are the unifying platform for the tools and methodologies developed for different application scenarios.
dc.description10 pages, 1 figure
dc.identifierhttps://arxiv.org/abs/cs/0501096
dc.identifierhttp://arxiv.org/abs/cs/0501096
dc.identifierKI (1), 2004
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32594
dc.subjectArtificial Intelligence
dc.subjectH3.1; I.2.7
dc.titleTransforming and Enriching Documents for the Semantic Web
dc.typetext

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