Paper Info
Title
A Categorization of KR&R Methods for Requirement Analysis of a Query Answering Knowledge Base
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.
Year
DOI
Venue
2010
10.3233/978-1-60750-535-8-158
FOIS
Keywords
Field
DocType
knowledge base,domain analysis,requirement analysis,environmental science,knowledge engineering
Domain analysis,Data mining,Categorization,Community participation,Information retrieval,Computer science,e-Science,Requirements analysis,Knowledge engineering,Knowledge base,Government
Conference
Volume
ISSN
Citations 
209
0922-6389
0
PageRank 
References 
Authors
0.34
8
5
Name
Order
Citations
PageRank
Vinay K. Chaudhri1587246.49
B. Bredeweg2618111.06
Richard E. Fikes340612351.97
Sheila A. Mcilraith44577491.08
Michael P. Wellman54715757.80