Improving query-answers from domain knowledge

Author

Andreasen, Troels

Author_Institution

Dept. of Comput. Sci., Roskilde Univ., Denmark

Volume

5

fYear

2001

fDate

2001

Firstpage

3269

Abstract

The paper introduces an approach to open knowledge-based query evaluation and describes a preliminary prototype taking this approach. A knowledge-base (KB), complementing the primary information base, that defines and relates words and concepts and exploits similarities between concepts, is used to improve answers. The knowledge base may introduce common and/or domain specific knowledge. The overall approach is to apply the KB in combination with a highly parameterised matching and aggregation, such that queries are transformed and expanded through the KB and parameters are resolved from the KB

Keywords

knowledge based systems; natural languages; query processing; text analysis; KB; domain knowledge; domain specific-knowledge; highly parameterised matching; knowledge-base; open knowledge-based query evaluation; primary information base; query transformation; query-answer improvement; Computer science; Databases; Information technology; Instruction sets; Natural language processing; Natural languages; Ontologies; Prototypes; Query processing; Vehicle driving;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2001 IEEE International Conference on

Conference_Location

Tucson, AZ

ISSN

1062-922X

Print_ISBN

0-7803-7087-2

Type

conf

DOI

10.1109/ICSMC.2001.972023

Filename

972023