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