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Translating a typical business process modelling language to a Web Services Ontology through lightweight mapping.

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Title: Translating a typical business process modelling language to a Web Services Ontology through lightweight mapping.
Authors: Nadarajan, G.1 G.Nadarajan@sms.ed.ac.uk, Chen-Burger, Y.-H.1
Source: IET Software (Institution of Engineering & Technology). Feb2007, Vol. 1 Issue 1, p1-17. 17p. 15 Diagrams, 19 Charts.
Subjects: Semantic Web, Automation, Web services, Semantic integration (Computer systems), Workflow software
Abstract: Bridging the gap between enterprise modelling methods and Semantic Web services is an important yet challenging task. For organisations with business goals, the automation of business processes as Web services is increasingly important, especially with many business transactions taking place within the Web today. Taking one approach to address this problem, a lightweight mapping between Fundamental Business Process Modelling Language (FBPML) and the Web Services Ontology (OWL-S) is outlined. The framework entails a data model translation and a process model translation via the use of ontologies and mapping principles. Several working examples of the process model translations are presented together with the implementation of an automated translator. FBPML constructs and process models that could not be translated to OWL-S equivalents highlight the differences between the languages of the two domains. It also implies that evolving Semantic Web technologies, in particular OWL-S, are not adequate for all service modelling needs and could thus benefit from the more traditional and mature BPM methods. On a more interesting note, this is effectively the first step towards enabling a semantic-based business workflow system. [ABSTRACT FROM AUTHOR]
Copyright of IET Software (Institution of Engineering & Technology) is the property of Institution of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Translating a typical business process modelling language to a Web Services Ontology through lightweight mapping.
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  Data: <searchLink fieldCode="DE" term="%22Semantic+Web%22">Semantic Web</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Web+services%22">Web services</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+integration+%28Computer+systems%29%22">Semantic integration (Computer systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Workflow+software%22">Workflow software</searchLink>
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  Data: Bridging the gap between enterprise modelling methods and Semantic Web services is an important yet challenging task. For organisations with business goals, the automation of business processes as Web services is increasingly important, especially with many business transactions taking place within the Web today. Taking one approach to address this problem, a lightweight mapping between Fundamental Business Process Modelling Language (FBPML) and the Web Services Ontology (OWL-S) is outlined. The framework entails a data model translation and a process model translation via the use of ontologies and mapping principles. Several working examples of the process model translations are presented together with the implementation of an automated translator. FBPML constructs and process models that could not be translated to OWL-S equivalents highlight the differences between the languages of the two domains. It also implies that evolving Semantic Web technologies, in particular OWL-S, are not adequate for all service modelling needs and could thus benefit from the more traditional and mature BPM methods. On a more interesting note, this is effectively the first step towards enabling a semantic-based business workflow system. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of IET Software (Institution of Engineering & Technology) is the property of Institution of Engineering & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=24320800
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