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Volume 4 Issue 1 January 2006
A Process Framework for an Interoperable Semantic Enterprise Environment
Jörg Härtwig and Karsten Böhm
University of Leipzig, Dept. of Business Information Systems, Germany
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Knowledge workers rely on cooperative dealing in information assets. When talking they have the appropriate cooperative know-how to transfer information shaped in a way that others can understand. But does this go well along business processes too? Consider a typical business scenario in modern economy. An enterprise trying to model its business processes across departments needs to provide knowledge extraction as well as knowledge integration while working on knowledge intensive activities with numerous applications. Valuable knowledge is composed by knowledge workers in isolated steps without adequate methods to transform it into information and to provide these information assets to others. The process of knowledge-co-production does support such activities.
This paper describes a process framework of interoperable semantic enterprise environments (PF-iSEE) for conceptualising knowledge by coupling business process activities and the knowledge transfer cycle. The PF-iSEE is triggered by an activity and starts the knowledge transfer cycle.
The knowledge transfer cycle provides six core concepts with methods, tools and templates to create, manipulate, store and retrieve information. Around the knowledge transfer cycle, special methods work in the context of business process activities with a representation model that can be a global, role depended or application inherited concept representation.
The paper introduces the main advantages and challenges of each core concept. Furthermore, it describes a way to support users when extracting knowledge as knowledge worker and during the process of implication as knowledge consumer. In both cases the user and the user’s main application have to be considered as a knowledge unit: the smallest constituents on which the PF-iSEE launches.
Keywords:
Semantic interoperability, enterprise semantic web, semantic information retrieval, knowledge-co-production, knowledge-cooperation, knowledge transfer cycle.
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