DocumentCode :
3265429
Title :
Associative query answering via query feature similarity
Author :
Chu, Wesley W. ; Zhang, Guogen
Author_Institution :
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
fYear :
35765
fDate :
8-10 Dec1997
Firstpage :
405
Lastpage :
409
Abstract :
Associative query answering provides additional relevant information to the queries that is not explicitly asked, but is of interest to the user. For a given query, associative information may be derived from past user query cases based on the user type and the query context. A case-based reasoning approach that matches query features is proposed. The query feature consists of the query topic, the output attribute list, and the selection constraints. The similarity of the query feature is defined and can be evaluated from the semantic model that is derived from the database schema. Query feature based associative attribute search is presented
Keywords :
case-based reasoning; deductive databases; query processing; search problems; associative attribute search; associative query answering; case-based reasoning; database schema; deductive database; output attribute list; query context; query feature matching; query feature similarity; relevant information; selection constraints; semantic model; user query cases; user type; Airports; Computer science; Contracts; Data engineering; Frequency; Information analysis; Knowledge engineering; Rail transportation; Relational databases; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Systems, 1997. IIS '97. Proceedings
Conference_Location :
Grand Bahama Island
Print_ISBN :
0-8186-8218-3
Type :
conf
DOI :
10.1109/IIS.1997.645319
Filename :
645319
Link To Document :
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