TY - GEN
T1 - A hybrid-sorting semantic matching method
AU - Li, Kan
AU - Mu, Wensi
AU - Luan, Yong
AU - An, Shaohua
PY - 2013
Y1 - 2013
N2 - Semantic Web Service enables automated service discovery, and even execution. Discovering proper services which match the given request has become an important issue as Internet technology develops and service demands increase. Existing service matching methods in service discovering always cost too much time for obtaining precision and recall ratio. This paper proposes a semantic similarity computing algorithm which considers both information capacity and ontology concept distance. Based on this similarity computing algorithm, we present a hybrid-sorting web service matching method. Compare with other methods like OWLS-MX by experiments, our method reduce average query time and we even improve recall ratio and precision ratio. In addition, this method supports service composition, another important issue in service discovery.
AB - Semantic Web Service enables automated service discovery, and even execution. Discovering proper services which match the given request has become an important issue as Internet technology develops and service demands increase. Existing service matching methods in service discovering always cost too much time for obtaining precision and recall ratio. This paper proposes a semantic similarity computing algorithm which considers both information capacity and ontology concept distance. Based on this similarity computing algorithm, we present a hybrid-sorting web service matching method. Compare with other methods like OWLS-MX by experiments, our method reduce average query time and we even improve recall ratio and precision ratio. In addition, this method supports service composition, another important issue in service discovery.
KW - Semantic
KW - service matching method
KW - similarity computing algorithm
UR - http://www.scopus.com/inward/record.url?scp=84893102509&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-53917-6_36
DO - 10.1007/978-3-642-53917-6_36
M3 - Conference contribution
AN - SCOPUS:84893102509
SN - 9783642539169
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 404
EP - 413
BT - Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings
T2 - 9th International Conference on Advanced Data Mining and Applications, ADMA 2013
Y2 - 14 December 2013 through 16 December 2013
ER -