DocumentCode
3024368
Title
An Improvement on the Model of Ontology-Based Semantic Similarity Computation
Author
Wang, Xiaoyun ; Zhou, Jianfeng
Author_Institution
Res. Inst. of Manage. Sci. & Inf. Eng., HangZhou DianZi Univ., Hangzhou, China
fYear
2009
fDate
25-26 April 2009
Firstpage
509
Lastpage
512
Abstract
Semantic retrieval is one of keys to achieve knowledge retrieval, and it is based on the computation of semantic similarity. This paper improves the general model of conceptual semantic similarity computation by adding new elements to the model such as instances, the relationship between concepts and instances, and that between instances itself. It also presents the method of computing semantic similarity based on the new model. In the experiment, the method gets the excellent results, which fits our judgment.
Keywords
data mining; ontologies (artificial intelligence); knowledge retrieval; ontology-based semantic similarity computation; semantic retrieval; Computational complexity; Current measurement; Databases; Engineering management; Information management; Information retrieval; Knowledge management; Ontologies; Position measurement; Technology management; ontology; semantic retrival; semantic similarity; semantic similarity model; similarity computation;
fLanguage
English
Publisher
ieee
Conference_Titel
Database Technology and Applications, 2009 First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3604-0
Type
conf
DOI
10.1109/DBTA.2009.17
Filename
5207709
Link To Document