Title :
Research of literature information retrieval method based on ontology
Author :
Song Yibing ; Ma Qinglong
Author_Institution :
Libr. of Navy Submarine Acad., Qingdao, China
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;
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
DOI :
10.1109/MFI.2014.6997648