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Context-aware process support through automatic selection and invocation of semantic web services

Dietze, S.; Gughotta, A. and Domingue, J. (2007). Context-aware process support through automatic selection and invocation of semantic web services. In: Title (Chao, K. M.; Lin, K. M. and Wang, W. H. eds.), Publisher, pp. 199–206.

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Current technologies aimed at supporting processes whether it is a business process or a learning process are usually based on using a dedicated set of metadata to describe a process which refers to some specific data, used in the process. Process metadata is usually specific to a standard specification - like the Business Process Modeling Notation (BPMN) or the IMS Learning Design Standard - while used process data is specific to a specific process context. These facts limit the re-usability of a process model across different standards and contexts. To overcome these issues, this paper describes an innovative semantic web service-oriented architecture aimed at changing this data- and metadata-based paradigm to a highly dynamic service-oriented approach following the idea of a semantic abstraction from process metadata as well as process data. This approach enables a dynamic adaptation to specific actor needs and objectives and supports the development of abstract semantic process models which are re-usable across different contexts and standards. To illustrate the application of our approach, we describe a prototypical application to the domain of E-Learning.

Item Type: Conference or Workshop Item
Copyright Holders: 2007 IEEE
ISBN: 0-7695-2861-9, 978-0-7695-2861-8
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: 15589
Depositing User: Colin Smith
Date Deposited: 22 Apr 2009 15:14
Last Modified: 09 Feb 2018 00:50
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