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Context-sensitive Team Formation: Towards Model-Based Context Reasoning and Update

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conference contribution
posted on 2009-07-21, 14:34 authored by Hong Qing Yu, Yi Hong, Reiko Heckel, Stephan Reiff-Marganiec
Selection problems tend to have two aspects: one that is structural and one that is quantitative in nature. Here we investigate a method that allows decisions on both aspects. The paper considers a typical example, that of selecting members for a team, where decisions are based on context information. We show that graph transformations are providing a solution to the structural selection, while logic scoring of preferences allows qualitative decision making. On an implementation level OWL and SPARQL are used to retrieve and update context data.

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Citation

6th International and Interdisciplinary Conference, CONTEXT 2007, Roskilde, Denmark, August 20-24, 2007, Proceedings, Doctoral Symposium Section, pp. 115-129.

Published in

6th International and Interdisciplinary Conference

Publisher

Roskilde University, Denmark

Available date

2009-07-21

Publisher version

http://context-07.ruc.dk/Context2007DocCons.pdf

Notes

This is the author's final draft of a paper presented at 6th International and Interdisciplinary Conference, CONTEXT 2007, Roskilde, Denmark, August 20-24, 2007, Proceedings, Doctoral Consortium Section. Proceedings will become available online as Computer Science Research Reports from Roskilde University and are currently available as a pdf file without report information from http://context-07.ruc.dk/Context2007DocCons.pdf.

Language

en

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