People around the world who are working in companies and organisations need to collaborate, and in their collaboration use information managed by different information systems. The requirements of information systems to be interoperable are therefore apparant. While the technical problems, of communicating or sharing information between different information systems, have become less difficult to solve, the attention has turned to other aspects of interoperability. Such aspects concern the bussiness processes, the knowledge, the syntax and the semantics that involves the information managed by information systems. Enterprise modelling is widely used to achieve integration solutions within enterprises and is a research area both for the integration wihin an enterprise (company or organisation) and the integration between several different enterprises. Enterprise modelling takes into account several of the aspects, mentioned as important for interoperability, in the models that are created. This thesis describes a research which has resulted in the connector view concept. The main contribution with this framework comprises a model structure and an approach, for performing the modelling of the collaboration between several partners in an extended enterprise. The purpose of the enterprise models thus created, by using the connector view concept, is to find solutions to interoperability problems, that exist in the collaboration between several enterprises.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-71535 |
Date | January 2011 |
Creators | Carstensen, Anders |
Publisher | Linköpings universitet, Institutionen för datavetenskap, Linköpings universitet, Tekniska högskolan, Linköping : Linköping University Electronic Press |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Licentiate thesis, monograph, info:eu-repo/semantics/masterThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
Relation | Linköping Studies in Science and Technology. Thesis, 0280-7971 ; 1513 |
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