Paper Info
Title
Planning techniques for rule selection in deductive question-answering
Abstract
Deductive planning techniques are described for rule selection in question-answering systems. Rules typically represent inferential knowledge applicable to a given domain of discourse. Given a question-answering system containing a large number of such rules, a crucial problem arises in selecting those rules that are relevant and needed to answer particular input queries. A planning process has been implemented to find chains of rules that deductively infer the desired conclusions. The processes of forward chaining from assumptions and backward chaining from goals are combined to form middle-term chains which provide the basis of the planning mechanism. The applicability and generality of these techniques for use in other rule-based systems is also discussed.
Year
DOI
Venue
1977
10.1145/1045343.1045346
SIGART Newsletter
Field
DocType
Volume
Information system,Forward chaining,Question answering,Computer science,Planning process,Backward chaining,Domain of discourse,Artificial intelligence,Data management,Generality
Journal
63
Issue
Citations 
PageRank 
63
16
20.86
References 
Authors
0
1
Name
Order
Citations
PageRank
Philip Klahr1114158.78