BeMatch: a platform for matchmaking service behavior models

The capability to easily find useful services (software applications, software components, scientific computations) becomes increasingly critical in several fields. Current approaches for services retrieval are mostly limited to the matching of their inputs/outputs possibly enhanced with some ontological knowledge. Recent works have demonstrated that this approach is not sufficient to discover relevant components. Motivated by these concerns, we have developed BeMatch platform for ranking web services based on behavior matchmaking. We developed matching techniques that operate on behavior models and allow delivery of partial matches and evaluation of semantic distance between these matches and user requirements. Consequently, even if a service satisfying exactly the user requirements does not exist, the most similar ones will be retrieved and proposed for reuse by extension or modification. We exemplify our approach for behavioral services matchmaking by describing two demonstration scenarios for matchmaking BPEL and WSCL protocols, respectively. A demo scenario is also described concerning the tool for evaluating the effectiveness of the behavioral matchmaking method.

[1]  Linpeng Huang,et al.  Matchmaking for semantic Web services , 2004, IEEE International Conference onServices Computing, 2004. (SCC 2004). Proceedings. 2004.

[2]  Eleni Stroulia,et al.  Structural and Semantic Matching for Assessing Web-service Similarity , 2005, Int. J. Cooperative Inf. Syst..

[3]  Andreas Wombacher,et al.  Indexing Business Processes based on Annotated Finite State Automata , 2006, 2006 IEEE International Conference on Web Services (ICWS'06).

[4]  Jeff Z. Pan,et al.  Towards semantically enhanced Web service repositories , 2007, J. Web Semant..

[5]  Erhard Rahm,et al.  COMA - A System for Flexible Combination of Schema Matching Approaches , 2002, VLDB.

[6]  Frank Leymann,et al.  Repository for Business Processes and Arbitrary Associated Metadata , 2006, BPM Demos.

[7]  Jun Zhang,et al.  Simlarity Search for Web Services , 2004, VLDB.

[8]  Mohand-Said Hacid,et al.  On automating Web services discovery , 2003, The VLDB Journal.

[9]  Mohand-Said Hacid,et al.  Semantic Reasoning for Web Services Discovery , 2003 .

[10]  Daniela Grigori,et al.  Behavioral matchmaking for service retrieval , 2006, 2006 IEEE International Conference on Web Services (ICWS'06).

[11]  Zhaohui Wu,et al.  Expressing Service and Query Behavior Using \pi-Calculus for Matchmaking , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

[12]  Jianwen Su,et al.  Web service discovery based on behavior signatures , 2005, 2005 IEEE International Conference on Services Computing (SCC'05) Vol-1.

[13]  Willem-Jan van den Heuvel,et al.  Leveraging Web Services Discovery with Customizable Hybrid Matching , 2006, ICSOC.

[14]  Takahiro Kawamura,et al.  Semantic Matching of Web Services Capabilities , 2002, SEMWEB.

[15]  Daniela Grigori,et al.  BPEL Processes Matchmaking for Service Discovery , 2006, OTM Conferences.