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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Levashova, T., Lundqvist, M., & Pashkin, M. (2006). Moving towards automatic generation of information demand contexts: An approach based on enterprise models and ontology slicing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4275 LNCS-I, pp. 1012–1019). Springer Verlag. https://doi.org/10.1007/11914853_65
Mendeley helps you to discover research relevant for your work.