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An intelligent interface for rule elicitation

Published: 26 June 2011 Publication History

Abstract

Rule bases are increasingly being used as knowledge resources for reasoning in Semantic Web applications. How-ever, a major obstacle to the wider use of rule bases is the difficulty of acquiring rules from domain experts. In this work, we present a predictive editing method, also known as autocompletion, to facilitate the elicitation of rules specified in the Semantic Web Rule Language (SWRL). Our method uses six different approaches for predictive editing based on frequency, position, structure, and domain-range information. We have implemented our method as a part of Protégé SWRL editor plug in. Initial usage of our method shows that a combined approach accurately recommends the most relevant rule predicates in the rule specification process.

References

[1]
SWRL Submission, available at http://www.w3.org/Submission/SWRL/
[2]
McGuinness, D. L., and van Harmelen, F., editors, OWL Web Ontology Language Overview. W3C Recommendation 10 February 2004. Available at http://www.w3.org/TR/2004/REC-owl-features-20040210/ M.D.
[3]
O'Connor, M. J., Knublauch, H., Tu, S. W., Grossof, B., Dean, M., Grosso, W. E., Musen, M. A., Supporting Rule System Interoperability on the Semantic Web with SWRL, Fourth International Semantic Web Conference (ISWC 2005), Galway, Ireland, Springer-Verlag, LNCS 3729, 974--986 (2005).
[4]
Hassanpour, S., O'Connor, M. J., and Das, A. K., Exploration of SWRL Rule Bases through Visualization, Paraphrasing, and Categorization of Rules. In G. Governatori, J. Hall, and A. Paschke, editors, Proceedings of the International RuleML Symposium on Rule Inter-change and Applications, Springer-Verlag, LNCS 5858, 246--261 (2009).

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Published In

cover image ACM Conferences
K-CAP '11: Proceedings of the sixth international conference on Knowledge capture
June 2011
212 pages
ISBN:9781450303965
DOI:10.1145/1999676

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2011

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Author Tags

  1. OWL
  2. SWRL
  3. autocomplete
  4. ontology
  5. predictive editing
  6. rule base
  7. rule elicitation

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K-CAP '2011
Sponsor:
K-CAP '2011: Knowledge Capture Conference
June 26 - 29, 2011
Alberta, Banff, Canada

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Overall Acceptance Rate 55 of 198 submissions, 28%

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