International Workshop on
Service Composition (sercomp'06)
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General OverviewComposition of services in dynamic environments has received much interest for its potential to support Business-to-Business (B2B) or Enterprise Application Integration (EAI). One of such dynamic environments is the World Wide Web, which makes available a huge and rapidly growing number of heterogeneous services. Recent efforts to develop ontology languages for the Web and ways of describing web services semantically in this environment have resulted in a number of prototype systems that can dynamically combine services and interact with them. There are many different types of architectures that have been developed around the concept of “services" - parties providing dynamic functionality to other parties. As the number of services increases so does the need for service reuse and service 'composability' - creation and provision of complex value-added services resulting in composite services. Additional infrastructure may well need to be defined to support composition in these open architectures. This workshop aims to tackle the research problems around methods, concepts, models, languages and technology that enable composition of services in the context of the WWW. Of particular interest are the methodologies that enable automatic or semiautomatic composition of services, semantic web service, web services, and e-services. The workshop especially welcomes contributions that exploit rich semantic descriptions of web services for semi-automatic and automatic composition using web intelligence and autonomous agents technology. This proposed workshop aims to bring
together researchers and industry attendees (e.g. leading
modelers, architects, system vendors, open-source projects,
developers, and end-users) addressing many of these issues,
and promote and foster a greater understanding of how the
composition of services in the context of WWW can assist
business to business and enterprise application
integration. Invited SpeakerDr. William Kwok-Wai Cheung is an Associate Professor in the Department of Computer Science at Hong Kong Baptist University. He received the Ph.D. in Computer Science (1999) from the Hong Kong University of Science and Technology, the M.Phil. and B.Sc. in Electronic Engineering (1991 and 1993) from the Chinese University of Hong Kong. He served as the workshop co-chairs of International Workshops on Knowledge Grid and Grid Intelligence held in conjunction with the WI'03 and WI'04 conferences, the program co-chair of 2005 IEEE International Conference on E-Technology, E-Commerce and E-Service (EEE'05), the program committee vice-chair of Ninth Pacific Rim International Conference on Artificial Intelligence, and the Web Chair of the 18th International Conference on Pattern Recognition (ICPR'06). He has been serving as an Associate Editor of IEEE Intelligent Informatics Bulletin since 2002 and was the guest editors of journals including Computational Intelligence - An International Journal, Journal of Electronic Commerce Research and Application, and Journal of Web-Services Research. His recent research focuses on the development of model-based pattern recognition and machine learning techniques with applications to various data mining related fields, including collaborative filtering, information extraction, and web structure mining, as well as Web/Grid service management under uncertainty. Presentation title: Service-Oriented Distributed Data Mining Abstract: Most data mining algorithms assume that data extracted from different production systems can be aggregated at a centralized server for subsequent analysis. However, issues like data privacy and bandwidth limitation cause the assumption to fail and triggered the need of distributed data mining paradigms that should be flexible, adaptive and privacy-preserving. In the first part of the talk, I will first present my view on the importance of service-oriented distributed data mining and the underlying challenges, including how to embrace data mining services with just-in-time and autonomous properties and how to mine distributed and privacy-protected data. Then, a service-oriented distributed data mining (DDM) prototype which was built on top of a Business Process Execution Language for Web Services (BPEL) engine to enable the choreography of DDM component services will be briefly introduced and explained. In the second part, I will present my recent work on distributed DDM paradigm called learning-from-abstraction for privacy-preserving DDM. In particular, it takes a model-based approach for hierarchical data representation for local data and allows global data patterns to be discovered directly from the local data abstraction in a user-controlled manner. Two particular data mining applications, namely clustering and data manifold visualization, will be illustrated based on the service-oriented environment we developed. In addition, I will explain the importance of quantifying privacy measures under the proposed paradigm and how the DDM component services can behave autonomously for allowing local data owners and consumers to get best deals in a data mining marketplace. Workshop VenueHong Kong The workshop is to be held in conjunction with the 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006). Topics
These topics indicate the general focus of the workshop, however, related contributions are welcome also. Important DatesSubmissions: August 7, 2006
(extended) Organization of the WorkshopOrganizing CommiteeMarlon Dumas Marco Pistore Dumitru Roman Program Committee- Michael Altenhofen, SAP, Germany Paper SubmissionsAll submissions should be formatted in IEEE Computer Society style with a page limit of 4 + 1 extra, and should be submitted in electronic format using the link: http://wi-consortium.org/wiiat06/scripts/ws_submit.php. All contributions will be peer reviewed by a program committee that will incorporate well recognized experts in the area of service composition. The Workshop proceedings will be published by IEEE Computer Society Press, to be indexed by EI. AgendaDecember 18, 2006 09:00 - 10:00 Session 1 - Workshop Opening and Keynote Speech: Service-Oriented Distributed Data Mining by Dr. William Kwok-Wai Cheung 10:00 - 10:30 Coffee Break 10:30 - 12:30: Session 2 - Service Composition using Planning Techniques
12:30 - 14:00 Lunch break 14:00 - 16:00 Session 3 - Composition of Stateful and Interactive Services
16:00 - 16:30 Coffee Break 16:30 - 18:00 Session 4 - Service Composition and Workflows
18:00 - 18:15 Closing remarks and conclusion The workshop registration will be managed in an open mode, thus allowing anybody interested in service composition to participate in the discussions at the workshop. RegistrationThose who are interested in attending the workshop should register through the main conference. |