Regras SWRL: Análise de similaridade e detecção de erros

  • Adriano Rivolli USP
  • João Paulo Orlando USP
  • Cláudio H. Yamamoto IFSP Salto
  • Dilvan A. Moreira US

Abstract


The Semantic Web renewed the interest in rule based software systems. Semantic Web Rules Language (SWRL) is a rule languagee that allows rules to be conbined with Web Ontology Language (OWL) knowledge bases to improve its expressivity. However developers face difficulties on managing large rule sets. A large rule set is difficult to understand and error prone, especially when used and maintained collaboratively. To minimize this problem, techniques and tools are needed to organize, view and ceate large rules sets in SWRL. This paper discusses and presents two strategies in the diferection: the similarity analysis between rules and the detection of syntatic and lexicon errors. They can help us to understand, view and correct SWRL rules in large knowledge bases.
Keywords: Rule, Rule SWRL, Rule Similarity, Rule Errors, Semantic Web, SWRL
Published
2011-10-03
How to Cite

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RIVOLLI, Adriano ; ORLANDO, João Paulo; YAMAMOTO, Cláudio H.; MOREIRA, Dilvan A.. Regras SWRL: Análise de similaridade e detecção de erros. In: BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 17. , 2011, Florianópolis. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2011 . p. 19-22.