A SWRL rules parser algorithm based on the topic semantic comparability and ant colony algorithm

  • Authors:

  • Nansu Zong;Yelu Zheng;Zhong Wang

  • Affiliations:

  • The Chinese Academy of Agricultural Sciences, Beijing;Sci-tech Information Institute, GAAS, Guangzhou;Sun Yat-Sen University, Guangzhou

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
  • Year:
  • 2009

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Abstract

As the Web Ontology Language(OWL) and Semantic Web Rule Language SWRL is promoted as one of the semantic reasoning standards, the parser algorithm for the SWRL retrieval has been studied by many researchers. This paper introduces a retrieve algorithm which integrated both the Topic Semantic Comparability (TSC) and Ant Colony Algorithm (ACA) to select the proper rules for the parser according to the input The paper analyzed the experiment and developed ideas for the direction of future research.