The strategic capabilities of today’s businesses rely on automatic systems centred on efficient and flexible data processing, which continues to constitute a big challenge in its supporting technologies including services technologies. The challenge is to overcome the barriers due to the ever increasing data amount, the heterogeneous or conflicting data representations, and the new data processing requirements in various Web services lifecycle steps spanning the entire business value chain. The most recent advances in services technologies help to reduce some of the processing and operation barriers in services systems of all scales. Meanwhile, they introduce more complexity on data and knowledge engineering to the tasks of creating service solutions for business problems.

Examples of current and emerging challenges range from data intensive service applications and service systems in the phenomenal software as services, to service data and metadata management for efficient and effective service discovery, publication and composition, to service mining and query to allow intelligent and efficient service management, to business activity monitoring for insightful understanding of the business behaviour; to business event notification and subscription in various Web services applications, and to database middleware of service related to ontologies. Many of these challenges can only be tackled through inter-disciplinary efforts on designing, developing, applying and validating techniques and methodologies from database, machine learning, distributed systems, and service science and engineering.

This workshop aims to call for such inter-disciplinary efforts and also to provide an international forum for researchers, educators, practitioners and policy-makers from academia, industry, governments and organizations to discuss and present their ideas and development in foundations and application of data and knowledge engineering in services computing. We seek paper submissions on all topics related to advances of data and knowledge engineering in services computing, including but not limited to:

1. Service data and knowledge engineering foundations
• Service data management and analysis
• Service metadata management in service registry/repository
• Service mining
• Service query
2. Data and knowledge management in service-oriented businesses
• Business activity and process monitoring
• Business data modelling and management
• Business event notification and subscription
3. Web services and data management
• Database middleware for service ontology management
• Services compositions
• Service oriented sensor data processing
• Web services applications
• Web services workflow

Papers must be submitted electronically. The format of submitted papers should follow the guidelines for the IEEE conference proceedings, limited to 6 pages. All papers will be peer reviewed by at least three reviewers. Accepted papers will be published in the workshop proceedings of the ICEBE 2009 by the IEEE CS Press. At least one of the authors of each accepted paper must register as a full participant of the workshop to have the paper published in the proceedings. Please submit papers in PDF format through the following link:

Paper Submission Link: http://www.easychair.org/conferences/?conf=dkeee09

Important Dates

Workshop Organizer

• Qianhui Liang, Singapore Management University, Singapore

Workshop Program Committee

• Kuo-Ming Chao, Conventry University, UK
• Jen-Yao Chung, IBM T.J. Watson Research Center, USA
• Yingsheng Li, Fudan University, China
• Qianhui Liang, Singapore Management University