Paper Info
Title
Knowledge-directed query processing in expert database systems
Abstract
The quality of an answer to a database query can be enhanced by utilizing semantic knowledge such that an expert would use if he/she were to answer the query. A system capable of utilizing such expert knowledge in a deductive database paradigm is presented. A given query is reformulated to reduce the cost of evaluation, to generate a subset of answers in the shortest amount of time, and/or to generate the set of good answers. Semantic knowledge is represented by a set of Horn clauses where a number of special predicates are used. The situations in which certain knowledge becomes relevant to a query are defined, and a method of identifying these situations is given. The authors present the ways in which semantic knowledge can be used and a backtracking scheme for inaccurate knowledge
Year
DOI
Venue
1990
10.1109/TAI.1990.130413
Herndon, VA
Keywords
Field
DocType
deductive databases,expert systems,information retrieval,knowledge based systems,horn clauses,answers,backtracking,database query,deductive database,expert database systems,expert knowledge,inaccurate knowledge,knowledge directed query processing,knowledge representation,predicates,semantic knowledge,relational databases,database system,database systems,logic
Query optimization,Query language,Query expansion,Information retrieval,Computer science,Sargable,View,Web query classification,Knowledge-based systems,Online aggregation,Database
Conference
Citations 
PageRank 
References 
2
3.41
4
Authors
3
Name
Order
Citations
PageRank
Sang-goo Lee1832151.04
Lawrence J. Henschen268125.43
Qadah, G.Z.35477.84