TY - GEN
T1 - Context-sensitive query expansion over the bipartite graph model for web service search
AU - Zhang, Rong
AU - Zettsu, Koji
AU - Kidawara, Yutaka
AU - Kiyoki, Yasushi
PY - 2011
Y1 - 2011
N2 - As Service Oriented Architecture (SOA) matures, service consumption demand leads to an urgent requirement to service discovery. Unlike web documents, services are intended to be executed to achieve objectives and/or desired goals of users, which means to realize application requirements. This leads to the notion that service discovery should take into account the "application requirement" of service with service content (descriptions) which have been well explored. Content is defined by service developers, e.g. WSDL file and context is defined by service users, which is service usages to application requirement. We find context(application) information is more useful for query generation, especially for non-expert users. So in this paper, we propose to do context-sensitive query processing to resolve application-oriented queries for web service search engine. Context is modeled by a bipartite graph model to represent the mapping relationship between application space and service space. Application-oriented queries are resolved by query expansion based on the topic sensitive bipartite graph. The experiments verify the efficiency of our idea.
AB - As Service Oriented Architecture (SOA) matures, service consumption demand leads to an urgent requirement to service discovery. Unlike web documents, services are intended to be executed to achieve objectives and/or desired goals of users, which means to realize application requirements. This leads to the notion that service discovery should take into account the "application requirement" of service with service content (descriptions) which have been well explored. Content is defined by service developers, e.g. WSDL file and context is defined by service users, which is service usages to application requirement. We find context(application) information is more useful for query generation, especially for non-expert users. So in this paper, we propose to do context-sensitive query processing to resolve application-oriented queries for web service search engine. Context is modeled by a bipartite graph model to represent the mapping relationship between application space and service space. Application-oriented queries are resolved by query expansion based on the topic sensitive bipartite graph. The experiments verify the efficiency of our idea.
UR - http://www.scopus.com/inward/record.url?scp=79955113570&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79955113570&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-20149-3_31
DO - 10.1007/978-3-642-20149-3_31
M3 - Conference contribution
AN - SCOPUS:79955113570
SN - 9783642201486
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 418
EP - 433
BT - Database Systems for Advanced Applications - 16th International Conference, DASFAA 2011, Proceedings
T2 - 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011
Y2 - 22 April 2011 through 25 April 2011
ER -