DocumentCode
1783020
Title
Research of literature information retrieval method based on ontology
Author
Song Yibing ; Ma Qinglong
Author_Institution
Libr. of Navy Submarine Acad., Qingdao, China
fYear
2014
fDate
28-29 Sept. 2014
Firstpage
1
Lastpage
6
Abstract
Literature information is an important content implicit in network. Focus on the lack of necessary ability of traditional search methods in literature information retrieval on the semantic comprehension, this paper combined with the existing web text mining, proposed a new information retrieval method using ontology concept for vector space model to integrate literature documents semantic information, and an appropriate evaluation methods is given. Application demonstrates the feasibility and effectiveness of this algorithm.
Keywords
data mining; information retrieval; literature; ontologies (artificial intelligence); text analysis; Web text mining; literature documents semantic information; literature information retrieval method; ontology; vector space model; Correlation; Information retrieval; Libraries; Ontologies; Semantics; Text mining; Vectors; Information Retrieval; Ontology; documents semantic; literature; text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6731-5
Type
conf
DOI
10.1109/MFI.2014.6997648
Filename
6997648
Link To Document