IKM 2013 - International Workshop on Intelligent Knowledge Management

Workshop Chair:
Jifa Gu ( jfgu-AT-amss.ac.cn ,Chinese Academy of Sciences, China)
Lingling Zhang ( zhangll-AT-gucas.ac.cn,Chinese Academy of Sciences, China)
Knowledge or hidden patterns discovered by data mining from large databases has great novelty, which is often unavailable from experts' experience. Its unique irreplaceability and complementarity has brought new opportunities for decision-making and it has become important means of expanding knowledge bases to derive business intelligence in the information era. The challenging problem, however, is whether the results of data mining can be really regarded as "knowledge". To address this issue, the theory of knowledge management should be applied. Unfortunately, there appears little work in the cross-field between data mining and knowledge management. Intelligent Knowledge Management is the management of how rough knowledge and human knowledge can be combined and upgraded into intelligent knowledge. Intelligent Knowledge Management aims to bridge the gap between these two fields. This study not only promotes more significant research beyond data mining, but also enhances the quantitative analysis of knowledge management on hidden patterns from data mining. The main purpose of this workshop is to provide researchers and practitioners an opportunity to share the most recent advances in the area of data mining, expert mining, pattern refinement and intelligent knowledge management, to generate new methods to evaluate the mined patterns and determine directions for further research. Papers should present modeling approaches/perspectives to intelligent knowledge. The workshop is interested in topics related to all aspects of patterns evaluation expert mining and intelligent knowledge. Topics of interest include, but are not limited to, the following:
* Intelligent Knowledge Management
* Knowledge synthesis
* Expert Mining
* Pattern Refinement
* Interestingness Measures for Knowledge Discovery
* Knowledge Presentation and Visualization
* Knowledge Evaluation
* KDD Process and Human Interaction
* Intelligent Knowledge Management System
* Intelligent Systems and Agents
* Multi Agent-based KDD Infrastructure
* Meta-synthesis and Advanced Modeling
*Knowledge Reuse and Ontology
* Knowledge Management Support Systems