Interpreting XML documents via an RDF schema ontology

Name: Interpreting XML documents via an RDF schema ontology
Creator: Michel C. A. Klein
Keywords: Automation, Resource description framework, Application software, Data models, Ontologies, 0202 electrical engineering, electronic engineering, information engineering, Information retrieval, Computer vision, 02 engineering and technology, XML

Michel C. A. Klein

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https://doi.org/10.1...arrow_drop_down

https://doi.org/10.1109/dexa.2...

Article . 2004 . Peer-reviewed

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Conference object

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Vrije Universiteit Amsterdam (VU Amsterdam) – Research Portal

Conference object . 2002

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Data sources: Vrije Universiteit Amsterdam (VU Amsterdam) – Research Portal

https://dx.doi.org/10.1109/dex...

Article

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Interpreting XML documents via an RDF schema ontology

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 23 Apr 2004 Netherlands Publisher:IEEE Comput. SocJournal:Proceedings. 13th International Workshop on Database and Expert Systems Applications

Authors: Michel C. A. Klein;

doi: 10.1109/dexa.2002.1046008

handle: 1871.1/c5d788a2-c585-4460-8cd6-5001d7d5ca23

Interpreting XML documents via an RDF schema ontology

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Abstract

Many business documents are represented in XML. However XML only describes the structure of data, not its meaning. The meaning of data is required for advanced automated processing, as is envisaged in the "Semantic Web". Ontologies are often used to describe the meaning of data items. Many ontology languages, however, depend on the RDF data model and cannot describe XML data directly. This paper presents a procedure that can be used to turn XML documents into RDF statements via an RDF schema specification. This allows semantic annotation of XML documents via external RDF schema ontologies. This procedure makes the data in XML documents available for the Semantic Web.

Country

Netherlands

Related Organizations

Vrije Universiteit Amsterdam
Netherlands
University of Amsterdam
Netherlands

Keywords

Automation, Resource description framework, Application software, Data models, Ontologies, Information retrieval, Computer vision, XML, Computer displays, Semantic Web

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