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Erschienen in:
2010 | OriginalPaper | Buchkapitel
EvoPat – Pattern-Based Evolution and Refactoring of RDF Knowledge Bases
verfasst von : Christoph Rieß, Norman Heino, Sebastian Tramp, Sören Auer
Erschienen in: The Semantic Web – ISWC 2010
Verlag: Springer Berlin Heidelberg
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Facilitating the seamless evolution of RDF knowledge bases on the Semantic Web presents still a major challenge. In this work we devise
EvoPat
– a pattern-based approach for the evolution and refactoring of knowledge bases. The approach is based on the definition of
basic evolution patterns
, which are represented declaratively and can capture simple evolution and refactoring operations on both data and schema levels. For more advanced and domain-specific evolution and refactorings, several simple evolution patterns can be combined into a compound one. We performed a comprehensive survey of possible evolution patterns with a combinatorial analysis of all possible before/after combinations, resulting in an extensive catalog of usable evolution patterns. Our approach was implemented as an extension for the OntoWiki semantic collaboration platform and framework.