Extending SWRL to Enhance Mathematical Support

نویسندگان

  • Alfonso Sánchez-Macián
  • Encarna Pastor
  • Jorge E. López de Vergara
  • David López
چکیده

This paper presents an extension to the Semantic Web Rule Language and a methodology to enable advanced mathematical support in SWRL rules. This solution separates mathematical and problem semantics allowing the inclusion of integration, differentiation and other operations not built-in to SWRL. Using this approach, it is possible to create rules to cope with complex scenarios that include mathematical relationships and formulas that exceed the SWRL capabilities.

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تاریخ انتشار 2007