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
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;
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
DOI :
10.1109/WIIAT.2008.52
