Semantic Web Services

M. Brian Blake is a Professor of Computer Science and Associate Dean for Research in the College of Engineering at the University of Notre Dame, IL, USA.  His research has focused on internet computing, service-oriented computing, and agent-based workflow systems.  He was the founder of the WS Challenge, which concentrates on evaluating the software engineering quality of service composition systems.Liliana Cabral is a Research Fellow at the Open University, UK. She developed technologies and presented a number of tutorials on Semantic Web Services in related conferences, and has also been a member of several projects from the European Commission concerning Semantic Web Services. Liliana is currently the chair of the SWS Challenge initiative and a member of the SEALS (Semantic Evaluation at Large Scale) project (EC FP7). Birgitta König-Ries holds the Heinz-Nixdorf Endowed Chair for Distributed Information Systems at the University of Jena, Germany. Prior to this she was with the Technical University of Munich, Florida International University, the University of Louisiana at Lafayette, and the University of Karlsruhe. Her group is working on Semantic Web Services and on portal technology, with a special focus on the evaluation of SWS frameworks.Ulrich Küster has received a PhD on the evaluation of Semantic Web Service technology from Friedrich-Schiller-University Jena, Germany. He co-chaired the SWS Challenge initiative for several years, served in the steering committee and as a track chair for the S3 Contest initiative and has held tutorials about the evaluation of semantic technologies.David Martin is a Software Engineering Manager in the Siri team at Apple (Cupertino, California, USA), and previously was a Senior Computer Scientist in the Artificial Intelligence Center of SRI International. His research areas include agent-based systems, Semantic Web and Semantic Web Services, intelligent assistance, andknowledge-based systems engineering. David was a Principal Investigator for DARPA's DAML program that created the Semantic Web initiative, and had a leading role in the development of OWL for Services (OWL-S) and the Semantic Web Services Language (SWSL). He has served as an organizer of many workshops related to Web Services, including the combined Service Matching and Resource Retrieval and Semantic Service Selection (SMR2 / S3) series of workshops and the first SWS Challenge workshop.

• Introduction.- Part I Results from the S3 Contest: OWL-S and SAWSDL Matchmaker Evaluation Tracks.- Overview of the S3 Contest: Performance Evaluation of Semantic Service Matchmakers.- SeMa2 - a Hybrid Semantic Service Matching Approach.- OPOSSUM: Indexing Techniques for an Order-of-Magnitude Improvement of Service Matchmaking Times.- Adaptive Hybrid Selection of Semantic Services: The iSeM Matchmaker.- SPARQLent: a SPARQL Based Intelligent Agent Performing Service Matchmaking.- Semantic Annotations and Web Service Retrieval: the URBE Approach.- SAWSDL Services Matchmaking using SAWSDL-iMatcher.- Self-Adaptive Semantic Matchmaking using COV4SWS.KOM and LOG4SWS.KOM.- Part II Results from the S3 Contest: Cross Evaluation Track.- Overview of the Jena Geography Dataset Cross Evaluation.- Evaluation of Structured Collaborative Tagging for Web Service Matchmaking.- Ontology Based Discovery of Semantic Web Services with IRS-III.- Part III Results from the Semantic Web Service Challenge.- Overview of the Semantic Web Service Challenge.- Loosely Coupled Information Models for Business Process Integration - Incorporating Rule-based Semantic Bridges into BPEL.- The XMDD Approach to the Semantic Web Services Challenge.- Service Offer Discovery in the SWS Challenge Shipment Discovery Scenario.- A Solution to the Logistics Management Scenario with the Glue2 Web Service Discovery Engine.- The COSMO Solution to the SWS Challenge Mediation Problem Scenarios— An Evaluation.- Part IV Results from the Web Services Challenge.- Overview of the Web Services Challenge (WSC): Discovery and Composition of SemanticWeb Services.- Effective QoS aware service composition based on forward chaining with service space restriction.- Semantics-basedWeb Service Composition Engine.- Efficient Composition of Semantic Web Services with End-to-End QoS Optimization.