DocumentCode :
3511210
Title :
Formal Ontology Model and its Application to Semantic Retrieval
Author :
Wang Hongwei ; Liu Zhongying ; Yu Changrui
Author_Institution :
Sch. of Econ. & Manage., Tongji Univ., Shanghai
fYear :
2007
fDate :
21-25 Sept. 2007
Firstpage :
5621
Lastpage :
5624
Abstract :
Current information retrieval techniques either rely on an encoding process to describe a given item or perform a full-text analysis to search for user-specified words. Because an encoded description might reflect only part of the content, they can´t guarantee content matching. Ontology is an explicit specification of conceptualizations, which can explicitly and formally express the semantic of the concepts and their relationship. So ontology is better for information retrieval in semantic level. This paper introduces the basic concept of ontology, and presents a formal ontological model using description logic. Then, an algorithm for checking subsumption relation between terms is given. At last, request mode and response mode are modeled. Based on the two modes, a new semantic-enabling information retrieval mechanism is discussed.
Keywords :
encoding; information retrieval; ontologies (artificial intelligence); text analysis; checking subsumption relation; description logic; encoding process; formal ontology model; full-text analysis; information retrieval techniques; request-response mode; user-specified words; Encoding; Engineering management; Financial management; Information analysis; Information management; Information retrieval; Internet; Logic; Ontologies; Performance analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
Type :
conf
DOI :
10.1109/WICOM.2007.1377
Filename :
4341152
Link To Document :
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