TY - GEN
T1 - Exploiting service context for web service search engine
AU - Zhang, Rong
AU - Zettsu, Koji
AU - Kidawara, Yutaka
AU - Kiyoki, Yasushi
PY - 2010
Y1 - 2010
N2 - Service-oriented architecture (SOA) is rapidly becoming one of significant computing paradigms. However as the increasing of services, haphazardly of service definition makes it tedious and less efficient for service discovery. In this paper, we propose a novel context model "SPOT" to express services usage information. Based on SPOT definition, we build services' collaboration graph and propose to analyze collaboration structure to rank services by their usage goodness. The distinctive feature of our method lies on the introducing of services context model which is a new model to deal with service context information, and integrating it for supporting service search. Our experimental results indicate that: our context-based ranking is useful for good services recommendation; services' context makes up for service description heterogeneity and can help to distinguish content-"similar" services.
AB - Service-oriented architecture (SOA) is rapidly becoming one of significant computing paradigms. However as the increasing of services, haphazardly of service definition makes it tedious and less efficient for service discovery. In this paper, we propose a novel context model "SPOT" to express services usage information. Based on SPOT definition, we build services' collaboration graph and propose to analyze collaboration structure to rank services by their usage goodness. The distinctive feature of our method lies on the introducing of services context model which is a new model to deal with service context information, and integrating it for supporting service search. Our experimental results indicate that: our context-based ranking is useful for good services recommendation; services' context makes up for service description heterogeneity and can help to distinguish content-"similar" services.
UR - http://www.scopus.com/inward/record.url?scp=77955019173&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77955019173&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-14246-8_36
DO - 10.1007/978-3-642-14246-8_36
M3 - Conference contribution
AN - SCOPUS:77955019173
SN - 3642142451
SN - 9783642142451
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 363
EP - 375
BT - Web-Age Information Management - 11th International Conference, WAIM 2010, Proceedings
T2 - 11th International Conference on Web-Age Information Management, WAIM 2010
Y2 - 15 July 2010 through 17 July 2010
ER -