Title :
Building Intelligent Information Retrieval System Based on Ontology
Author :
Ying, Pan ; Tianjiang, Wang ; Xueling, Jiang
Author_Institution :
Guangxi Teachers Coll, Guangxi
fDate :
Aug. 16 2007-July 18 2007
Abstract :
The traditional retrieval system based on classification and keyword is difficult to satisfy the high quality retrieval requirement. A prototype of an intelligent retrieval system is provided, and the running process, reason and query of the system are discussed. Ontologies are introduced to describe the semantic information of knowledge bases in order to meet requirement of utmost sharing and reuse of the domain knowledge, then designs several retrieval requirements, and carries out the retrieval instances. The experimental results show the system support semantic retrieval, it can retrieval the results match the retrieval terms on semantic, and improve the retrieval quality.
Keywords :
information retrieval; ontologies (artificial intelligence); domain knowledge; intelligent information retrieval system; knowledge base; ontology; retrieval instances; retrieval requirements; semantic information; system support semantic retrieval; Character generation; Courseware; Educational institutions; Information retrieval; Instruments; Intelligent structures; Intelligent systems; Ontologies; Prototypes; Terminology; Intelligent retrieval; Knowledge Base; Ontology; Semantic;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4351218