DocumentCode
507076
Title
Evaluate Retrieval Systems Based on Ontology Vocabulary
Author
Ruan, Jia-Bin ; Yang, Yu-Bin ; Li, Ning
Author_Institution
State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China
Volume
2
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
233
Lastpage
237
Abstract
In the current age of information explosion, people need an effective way to help them find useful information in the midst of the vast data ¿ocean¿. To address this issue, ontology-related techniques have been increasingly applied to information retrieval in recent years, expected to help computers understand the intentions of human being and thus provide better services. It is clear that, with the help of ontology, the performances of information retrieval systems can be improved. However, it is then necessary to propose a method indicating how to measure the improvement, and to demonstrate its benefit to the industry. This paper proposes a method to evaluate retrieval systems based on ontology vocabulary, which is different from traditional evaluation methods in its purposes and applications. Experimental results have also been provided to show the effectiveness of the proposed evaluation measure.
Keywords
information retrieval systems; ontologies (artificial intelligence); vocabulary; information explosion; information retrieval systems; ontology vocabulary; retrieval system evaluation; Databases; Explosions; Fuzzy systems; Image retrieval; Information retrieval; Laboratories; Marine technology; Ontologies; Sea measurements; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.850
Filename
5359441
Link To Document