DocumentCode
1593169
Title
Ontology-based semantic information retrieval
Author
Xia, Chongpu ; Cheng, Xinrong ; Zhang, Lu ; Kang, Li
Author_Institution
Dept. of Comput. Sci., China Agric. Univ., Beijing, China
fYear
2010
Firstpage
183
Lastpage
187
Abstract
The traditional search engine can´t reach the recall rate and precision required. One increasingly popular method to structure information is through the use of ontology. However, OWL Classes does not do so well in expressing information needs and constructing complex query. Therefore, the term Meta Concept is put forward instead of OWL Class to express information. With Meta Concept, document resource and user requirement are redefined and new search modal based it is provided. A prototype is implemented and evaluated, and the results show large improvements over existing methods.
Keywords
information needs; information retrieval; ontologies (artificial intelligence); search engines; document resource; information needs; meta concept; ontology-based semantic information retrieval; search engine; Libraries; OWL; Ontologies; Search engines; Semantics; Thesauri;
fLanguage
English
Publisher
ieee
Conference_Titel
World Automation Congress (WAC), 2010
Conference_Location
Kobe
ISSN
2154-4824
Print_ISBN
978-1-4244-9673-0
Electronic_ISBN
2154-4824
Type
conf
Filename
5665559
Link To Document