By Topic

Expansion Model of Semantic Query Based on Ontology

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Jiuying Qin ; Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China ; Hongsheng Wang ; Hong Shao

An expansion model of semantic query based on ontology is proposed for the problem of ldquoexpression differencerdquo and ldquomechanical matchrdquo that usually exists in information retrieval. By using domain knowledge in ontology, retrieval system can improve semantic understanding of retrieval documents, and give the chance to user to put their information request in more nature way (more precise way), which will surely optimize the whole searching process and raise the relativity of query words and documents, further improve the recall and precision ratios of information retrieval. To perform the semantic expansion based on ontology, semantic expansion algorithm and semantic expansion functions based on ontology are proposed and used in the model. As is indicated by the experiment, this model is suitable for promoting online information retrieval and the accuracy of searching is highly improved.

Published in:

Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on

Date of Conference:

6-7 June 2009