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- W2207861330 abstract "Business intelligence is crucial for synergy and competitiveness in the world of business; the challenge is to capitalize upon the experiences, relationships and knowledge of all members over time. In this paper, we address business intelligence and more generally collective intelligence through a social approach based on viewpoints. The collective knowledge is stored within a bi-partite graph populated by agents, documents and topics on one side and by viewpoints on the other side. Viewpoints consist in labelled triples (agent, document, topic). We define a semantic distance on this structure. We then engage a selectionist process: information retrieval is based on existing viewpoints while feedbacks yield new viewpoints. The implemented framework and algorithms are tested through a simulation." @default.
- W2207861330 created "2016-06-24" @default.
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- W2207861330 date "2013-10-09" @default.
- W2207861330 modified "2023-09-25" @default.
- W2207861330 title "Viewpoints: An Alternative Approach toward Business Intelligence" @default.
- W2207861330 hasPublicationYear "2013" @default.
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