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A semantic web services-based infrastructure for context-adaptive process support

Dietze, Stefan; Gugliotta, Alessio and Domingue, John (2007). A semantic web services-based infrastructure for context-adaptive process support. In: Zhang, Liang-Jie; Watson, T. J.; Birman, Kenneth P. and Zhang, Jia eds. IEEE International Conference on Web Services. Los Alamitos, Calif: IEEE Computer Society, pp. 537–544.

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Current technologies aimed at supporting processes whether it is a business or learning process - primarily follow a metadata- and data-centric paradigm. Whereas process metadata is usually based on a specific standard specification - such as the Business Process Modeling Notation (BPMN) or the IMS Learning Design Standard - the allocation of resources is done manually at design-time, and the used data is often specific to one process context only. These facts limit the reusability of process models across different standards and contexts. To overcome these issues, we introduce an innovative Semantic Web Service-based framework aimed at changing the current paradigm to a context-adaptive service-oriented approach. Following the idea of layered semantic abstractions, our approach supports the development of abstract semantic process model - reusable across different contexts and standards - that enables a dynamic adaptation to specific actor needs and objectives. To illustrate the application of our framework and establish its feasibility, we describe a prototypical application in the E-Learning domain.

Item Type: Book Section
Copyright Holders: 2007 IEEE
ISBN: 0-7695-2924-0, 978-0-7695-2924-0
Keywords: web services; process models; semantic web service-based framework; layered semantic abstractions
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 15588
Depositing User: Colin Smith
Date Deposited: 20 Apr 2009 15:37
Last Modified: 15 Jan 2019 06:07
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