DocumentCode :
2868736
Title :
A semantic retrieval model based on ontologies and question-answer modes
Author :
Li Zhiping ; Ran Jie ; Sun, Yu
Author_Institution :
Center of Modern Educ. Technol., Yunnan Normal Univ., Kunming, China
Volume :
13
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Aiming at the problem that users often can not retrieve useful information or the retrieved information is inaccurate, in this paper, a semantic retrieval model based on ontologies and question-answer modes is put forward. Domain knowledge representation is based on ontologies in order to improve the sharing and reusing of knowledge. Through a systematic in-depth analysis of users´ questions, the question-answer modes are given. Then, the model and its characteristics are analyzed in detail. The introduction of ontologies and question-answer modes can improve the efficiency of semantic retrieval in some degree, hence, the precision and recall of semantic retrieval would be better guaranteed.
Keywords :
information retrieval; ontologies (artificial intelligence); semantic Web; ontologies; question answer modes; semantic retrieval model; useful information retrieval; Education; Materials; Multimedia communication; Ontologies; Semantics; User interfaces; lexical analysis; ontologies; question-answer modes; semantic retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5622879
Filename :
5622879
Link To Document :
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