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Automatic Generation of OWL Ontology from XML Data Source

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arxiv 1206.0570 v1 pith:4UAWOVHI submitted 2012-06-04 cs.DL

classification cs.DL
keywords ontologydatadomainautomaticdifferentexchangegenerationknowledge
verification ladder T0 review T1 audit T2 compute T3 formal
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The eXtensible Markup Language (XML) can be used as data exchange format in different domains. It allows different parties to exchange data by providing common understanding of the basic concepts in the domain. XML covers the syntactic level, but lacks support for reasoning. Ontology can provide a semantic representation of domain knowledge which supports efficient reasoning and expressive power. One of the most popular ontology languages is the Web Ontology Language (OWL). It can represent domain knowledge using classes, properties, axioms and instances for the use in a distributed environment such as the World Wide Web. This paper presents a new method for automatic generation of OWL ontology from XML data sources.

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  1. Ontology-driven personalized information retrieval for XML documents

    cs.IR 2026-03 reject novelty 3.0 of 10

    An ontology-weighted vector-space model with exponential profile reinforcement is claimed to improve personalized XML retrieval, but the supporting experiment is self-referential and uses no standard keyword baseline.

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