An Ontology-based System for Semantic Filtering of XML Data | Zendy

Michele Baggi | Zendy

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An Ontology-based System for Semantic Filtering of XML Data

Author(s) -

Michele Baggi

Publication year - 2009

Publication title -

electronic notes in theoretical computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.242

H-Index - 60

ISSN - 1571-0661

DOI - 10.1016/j.entcs.2009.03.003

Subject(s) - computer science , information retrieval , streaming xml , ontology , xml validation , xml , efficient xml interchange , xml database , document structure description , xml schema editor , programming language , xml schema (w3c) , xml encryption , world wide web , philosophy , epistemology

In this paper, we describe a system, written in Haskell, for the ontology-based approximate filtering of XML data. Basically, it allows one to extract relevant data as well as to exclude useless and misleading contents from an XML document. The system provides a declarative language one can use to define XML patterns and ontology queries to express syntactic as well as semantic filtering criteria. The system can be used through a Web application which is endowed with a user-friendly graphical interface. Finally, we provide some meaningful examples which show the usefulness of the implemented filtering methodology

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