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
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;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824