TY - GEN
T1 - Semantic similarity based web services composition framework
AU - Abid, Ahmed
AU - Messai, Nizar
AU - Rouached, Mohsen
AU - Abid, Mohamed
AU - Devogele, Thomas
N1 - Publisher Copyright:
Copyright 2017 ACM.
PY - 2017/4/3
Y1 - 2017/4/3
N2 - Computing similarities between Web services is a main concern in Service Oriented Architecture as it allows to decide which services are likely to be matched into a composite workow, or in other cases, which services can be substituted in order to ensure continuous service availability. With the high maturity achieved by the standards, tools and frameworks in the Semantic Web domain, measuring Web services similarities relies more than ever on semantic descriptions of services as well as on semantic relationships these descriptions may hold. In this paper we present a Framework for Web services composition based on computing semantic similarity between Web services. We particularly focus on Services Matching engine which uses the considered similarity measure first to classify Web services into classes of functionally similarWeb services and then to propose a composite sequence of services that matches a requested goal. In both tasks, the presented framework appeals for best known techniques of similarity computing and data and knowledge extraction, respectively.
AB - Computing similarities between Web services is a main concern in Service Oriented Architecture as it allows to decide which services are likely to be matched into a composite workow, or in other cases, which services can be substituted in order to ensure continuous service availability. With the high maturity achieved by the standards, tools and frameworks in the Semantic Web domain, measuring Web services similarities relies more than ever on semantic descriptions of services as well as on semantic relationships these descriptions may hold. In this paper we present a Framework for Web services composition based on computing semantic similarity between Web services. We particularly focus on Services Matching engine which uses the considered similarity measure first to classify Web services into classes of functionally similarWeb services and then to propose a composite sequence of services that matches a requested goal. In both tasks, the presented framework appeals for best known techniques of similarity computing and data and knowledge extraction, respectively.
KW - Discovery and composition
KW - Matching
KW - Semantic similarity
KW - Web services
UR - http://www.scopus.com/inward/record.url?scp=85020943830&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85020943830&partnerID=8YFLogxK
U2 - 10.1145/3019612.3019805
DO - 10.1145/3019612.3019805
M3 - Conference contribution
AN - SCOPUS:85020943830
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 1319
EP - 1325
BT - 32nd Annual ACM Symposium on Applied Computing, SAC 2017
PB - Association for Computing Machinery
T2 - 32nd Annual ACM Symposium on Applied Computing, SAC 2017
Y2 - 4 April 2017 through 6 April 2017
ER -