TY - JOUR
T1 - A categorization of KR&R methods for requirement analysis of a query answering knowledge base
AU - Chaudhri, V.K.
AU - Bredeweg, B.
AU - Fikes, R.
AU - McIlraith, S.
AU - Wellman, M.P.
N1 - Proceedings title: Formal Ontology in Information Systems: Proceedings of the sixth international conference (FOIS 2010) Publisher: IOS Press Place of publication: Amsterdam ISBN: 978-1-60750-534-1 Editors: A. Galton, R. Mizoguchi; 6th International Conference on Formal Ontologies in Information Systems (FOIS 2010), Toronto, Canada ; Conference date: 11-05-2010 Through 14-05-2010
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
U2 - 10.3233/978-1-60750-535-8-158
DO - 10.3233/978-1-60750-535-8-158
M3 - Article
SN - 0922-6389
VL - 209
SP - 158
EP - 171
JO - Frontiers in Artificial Intelligence and Applications
JF - Frontiers in Artificial Intelligence and Applications
ER -