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Titlebook: Artificial Intelligence for Knowledge Management; First IFIP WG 12.6 I Eunika Mercier-Laurent,Danielle Boulanger Conference proceedings 201

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Artificial Intelligence for Knowledge Management with BPMN and Rules,tain degree overcome thanks to their complementary nature. We only deal with a restricted view of Knowledge Management, where knowledge can be modeled explicitly in a formal representation, and it does not take into account the hidden, personal knowledge.
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Collective Intelligence for Evaluating Synergy in Collaborative Innovation,ter and the synergy maximization is guaranteed by using a new particle swarm algorithm, .. This paper will give the formulation and criteria of the synergy index in detail. A sample synergy index application for the Turkish SMEs will clarify the steps to follow.
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How to Understand Digital Studio Outputs: The Case of Digital Music Production,s trace-based system is structured in three main layers: track production process, interpret collected traces according to a dedicated domain ontology, help querying and visualizing to foster production understanding. We conclude by discussing some hypotheses about trace-based knowledge engineering and digital music production understanding.
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https://doi.org/10.1007/978-1-349-19036-2tain degree overcome thanks to their complementary nature. We only deal with a restricted view of Knowledge Management, where knowledge can be modeled explicitly in a formal representation, and it does not take into account the hidden, personal knowledge.
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The Thomist-Catholic View of Faithter and the synergy maximization is guaranteed by using a new particle swarm algorithm, .. This paper will give the formulation and criteria of the synergy index in detail. A sample synergy index application for the Turkish SMEs will clarify the steps to follow.
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