Mining XML Schemas to Extract Conceptual Knowledge

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Author(s): Ivan Bedini (Alcatel-Lucent Bell Labs, Ireland), Benjamin Nguyen (University of Versailles, France), Christopher Matheus (Alcatel-Lucent Bell Labs, Ireland), Peter F. Patel-Schneider (Alcatel-Lucent Bell Labs, USA)and Aidan Boran (Alcatel-Lucent Bell Labs, Ireland)
Copyright: 2012
Pages: 27
Source title: Semi-Automatic Ontology Development: Processes and Resources
Source Author(s)/Editor(s): Maria Teresa Pazienza (University of Roma Tor Vergata, Italy)and Armando Stellato (University of Roma Tor Vergata, Italy)
DOI: 10.4018/978-1-4666-0188-8.ch004

Keywords: Information Science Reference / Knowledge Discovery / Knowledge Management / Library & Information Science

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Abstract

One of the promises of the Semantic Web is to support applications that easily and seamlessly deal with heterogeneous data. Most data in the Web, however, is in the Extensible Markup Language (XML) format, but using XML requires applications to understand the format of each data source that they access. Achieving the benefits of the Semantic Web involves transforming XML into the Semantic Web languages, OWL (the Web Ontology Language) and RDF (the Resource Description Framework), a process that generally has manual or only semi-automatic components. In this chapter, the authors present a set of patterns that enable the automatic transformation from XML Schema into RDF and OWL, enabling the direct use of much XML data in the Semantic Web. They focus on a possible logical representation of the first language and present an implementation, including a comparison with related works.

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