Viewpoints: An alternative approach toward business intelligence
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.
| Main Authors: | , , |
|---|---|
| Format: | conference_item biblioteca |
| Language: | eng |
| Published: |
Paul Cunningham and Miriam Cunningham
|
| Subjects: | C30 - Documentation et information, U30 - Méthodes de recherche, 000 - Autres thèmes, |
| Online Access: | http://agritrop.cirad.fr/571435/ http://agritrop.cirad.fr/571435/1/document_571435.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|