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Moving towards Automatic Generation of Information Demand Contexts: an Approach Based on Enterprise Models and Ontology Slicing
Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. (Information Engineering)
2006 (English)In: Proceedings of OTM Confederated International Conferences CoopIS, DOA, GADA, and ODBASE 2006, 2006, p. 1012-1019Conference paper, Published paper (Refereed)
Abstract [en]

This paper outlines the first experiences of an approach for automatically deriving information demands in order to provide users with demand-driven information supply and decision support. The presented approach is based on the idea that information demands with respect to work activities can be identified by examining the contexts in which they exist and that a suitable source for such contexts are Enterprise Models. However, deriving contexts manually from large and complex models is very time consuming and it is therefore proposed that a better approach is to, based on an Enterprise Model, produce a domain ontology and from this then automatically derive the information demand contexts that exist in the model.

Place, publisher, year, edition, pages
2006. p. 1012-1019
Keywords [en]
information demand, enterprise model, ontology engineering, ontology management, context, context derivation
Identifiers
URN: urn:nbn:se:hj:diva-2345OAI: oai:DiVA.org:hj-2345DiVA, id: diva2:33165
Available from: 2007-06-07 Created: 2007-06-07

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Lundqvist, Magnus

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