By Eunika Mercier-Laurent, Danielle Boulanger (eds.)
This booklet contains a choice of papers offered on the First IFIP WG 12.6 overseas Workshop on synthetic Intelligence for wisdom administration, AI4KM 2012, held in Montpellier, France, in August 2012, along with the twentieth eu convention on man made Intelligence, ECAI 2012. The eleven revised and prolonged papers have been conscientiously reviewed and chosen for inclusion during this quantity. They current new study and cutting edge points within the box of information management.
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Additional info for Artificial Intelligence for Knowledge Management: First IFIP WG 12.6 International Workshop, AI4KM 2012, Held in Conjunction with ECAI 2012, Montpellier, France, August 28, 2012, Revised Selected Papers
Define and implement a integration model for content-based ranks into a collaborative filtering. In addition, metrics for assessing the effectiveness filter bots and a system were identified and evaluated. 40 M. Owoc and P. Weichbroth In the paper , Lin et al. a collaborative recommendation system based on association rules framework was proposed. The framework provides two measures for evaluating the association expressed by a rule: confidence and support. Moreover, the system generates association rules among users as well as among items.
Knowledge Analysis and Verification, 6. Friendly User Interface, 7. Generalization and Learning. A tool, or a set of tools, for efficient Knowledge Management should support as many KM activities in a smooth way and deserve handling as many types of knowledge within a single framework. 1 BPMN as a Tool for Knowledge Management BPMN  appears to be an effective choice for Knowledge Management tasks. It offers a wide spectrum of graphical elements for visualizing of events, activities, workflow splits and merges, etc.
LNCS, vol. 6826, pp. 305–312. Springer, Heidelberg (2011) 22. : A centralized planning technique with temporal constraints and uncertainty for multi-agent systems. J. Exp. Theor. Artif. Intell. 18, 331–364 (2006) 23. : Logical Foundations for Rule-Based Systems. Springer, Heidelberg (2006) 24. : Exclusion rule-based systems – case study. In: International Multiconference on Computer Science and Information Technology, Wisla, Poland, vol. 3, pp. 237–242 (2008) 25. : Reduction of tabular systems.