A Categorization of KR&R Methods for Requirement Analysis of a Query Answering Knowledge Base

  • Authors:

  • Vinay K. Chaudhri;Bert Bredeweg;Richard Fikes;Sheila McIlraith;Michael P. Wellman

  • Affiliations:

  • Artificial Intelligence Center, SRI International, Menlo Park, CA, USA 94025;University of Amsterdam, Science Park 107, 1098 XG Amsterdam, The Netherlands;Computer Science Department, Stanford University, Stanford, CA, USA 94305;Department of Computer Science, University of Toronto, Toronto, Canada M5S 1A4;Computer Science & Engineering, University of Michigan, Ann Arbor, MI 48109

  • Venue:
  • Proceedings of the 2010 conference on Formal Ontology in Information Systems: Proceedings of the Sixth International Conference (FOIS 2010)
  • Year:
  • 2010

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Abstract

Our long-term goal is to build a query answering system that can answer questions on a wide variety of topics and explain the answers. In such a situation, a designer faces the challenge of how to specify the KR&R requirements that are needed to answer questions. In this paper, we introduce a categorization of KR&R methods, and apply it to specifying the requirements for answering questions in six different domains: Physics, Chemistry, Biology, Environmental Science, Microeconomics, and U.S. Government & Politics. Drawing from the corpus of about 500 questions that we analyzed, we consider an example question in each domain and show the analytical process that we used to derive the requirements in terms of the KR&R categorization. We analyze the effectiveness of the current KR&R categorization, and identify directions for future work suggesting how this categorization can be further evolved by community participation.