Theme Correlation algorithm based on the domain ontology in the Vertical search engine

Vertical search engine research, more and more .subject-oriented vertical search has become one of the hotspots. This paper presents an ontology judgment theme relevance judgments algorithm, combined with Semantic Web technology with traditional information retrieval technology, and referenced by user's feedback, effectively improve the user's search precision and recall rate, verified by experiment.

[1]  Dennis McLeod,et al.  Retrieval effectiveness of an ontology-based model for information selection , 2004, The VLDB Journal.

[2]  Neel Sundaresan,et al.  Metadata based Web mining for relevance , 2000, Proceedings 2000 International Database Engineering and Applications Symposium (Cat. No.PR00789).

[3]  Sergey Brin,et al.  Extracting Patterns and Relations from the World Wide Web , 1998, WebDB.

[4]  Yuri A. Tijerino,et al.  Onto TEMAS: an ontology-based teaching materials search engine , 2005 .