Moving towards automatic generation of information demand contexts: an approach based on enterprise models and ontology slicing

Authors:
Tatiana Levashova;Magnus Lundqvist;Michael Pashkin
Affiliations:
St Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russia;School of Engineering, Jönköping University, Jönköping, Sweden;St Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russia
Venue:
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Year:
2006

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Abstract

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.