DocumentCode
2282251
Title
Conjunctive Query Answering over an f-ALC Knowledge Base
Author
Cheng, Jingwei ; Ma, Z.M. ; Zhang, Fu ; Wang, Xing
Author_Institution
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Volume
3
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
279
Lastpage
282
Abstract
In this paper, we present the very first algorithm for answering expressive fuzzy conjunctive queries, which allow the occurrence of both lower bound and the upper bound of threshold in a query atom, over the relative expressive fuzzy DL, f-ALC. The algorithm we suggest here can easily be adapted to existing (and future) DL implementations. We distinguish the queries into two categories, the ground and the variable-involved Boolean queries, and present the algorithms for them sequentially.
Keywords
knowledge based systems; query processing; expressive fuzzy conjunctive query answering; f-ALC knowledge base; ground Boolean queries; query atom; querying description logic; variable-involved Boolean queries; Automatic logic units; Database languages; Fuzzy set theory; Information science; Intelligent agent; Knowledge based systems; Knowledge engineering; Ontologies; Relational databases; Upper bound; Conjunctive queries; description logics; knowledge base;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-0-7695-3496-1
Type
conf
DOI
10.1109/WIIAT.2008.52
Filename
4740779
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