Title :
Study of digital library information retrieval model based on ontology
Author :
Wu-Jun, Van ; Peng, Zhao
Author_Institution :
Dept. of Comput., Taiyuan Normal Sch., Taiyuan, China
Abstract :
The core task of digital library is that provides good information retrieval system for the users. Traditional information retrieval technology is mainly based on keyword matching and has little semantic inferring ability. Moreover it does not provide semantic guidance for users. So information retrieval system may miss some information that users really want and return some information that users don´t want. Ontology is used for digital library information retrieval in this paper. At first this paper analysis the feature and demand of the digital library, then put forward to the digital library information retrieval model based on ontology and system structure, develop the key technology, finally give the test.
Keywords :
digital libraries; information retrieval; ontologies (artificial intelligence); digital library information retrieval; keyword matching; ontology; semantic guidance; semantic inferring ability; Computers; Libraries; OWL; Ontologies; Semantics; Digital Library; Information Retrieval; Ontology;
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
DOI :
10.1109/ICCASM.2010.5622829