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
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;
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
DOI :
10.1109/DBTA.2009.17
