A Software Tool for Visualizing, Managing and Eliciting SWRL Rules

SWRL rule are increasingly being used to represent knowledge on the Semantic Web. As these SWRL rule bases grows larger, managing the resulting complexity can become a challenge. Developers and end-users need rule management tools to tackle this complexity. We developed a rule management tool called Axiomé that aims to address this challenge. Axiomé support the paraphrasing of SWRL into simple English, the visualization of the structure both of individual rules and of rule bases, and supports the categorization of rules based on an analysis of their syntactic structure. It also supports the automatic generation of rule acquisition templates to facilitate rule elicitation. Axiomé is available as a plugin to the Protégé-OWL ontology development environment.

Authors and Affiliations

1. Stanford Center for Biomedical Informatics Research, MSOB X215, 251 Campus Drive, Stanford, California, USA, 94305

   Saeed Hassanpour, Martin J. O’Connor & Amar K. Das

Editors and Affiliations

1. Department of Computer Science, Free University Amsterdam, De Boelelaan 1081a, 1081 HV, Amsterdem, The Netherlands

   Lora Aroyo

2. Institute of Computer Science, FORTH and Computer Science Department, University of Crete, P.O. Box 1385, 71110, Heraklion, Greece

   Grigoris Antoniou

3. School of Science and Technology, Department of Media Technology, Aalto University, P.O. Box15500, 00076, Aalto, Finland

   Eero Hyvönen

4. Department of AI, Free University Amsterdam, De Boelelaan 1081A, 1081HV, Amsterdam, The Netherlands

   Annette ten Teije

5. Institut für Informatik, B6, 26, Universität Mannheim, 68159, Mannheim, Germany

   Heiner Stuckenschmidt

6. Knowledge Media Institute, The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK

   Liliana Cabral

7. Stanford Biomedical Informatics Research Center, 251 Campus Drive, 94305-5479, Stanford, CA, USA

   Tania Tudorache

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