Cover -- Title Page -- Contents -- Chapter 1. Assessing the Community Maturity from a Knowledge Management Perspective -- 1.1. Introduction -- 1.2. Background -- 1.2.1. Maturity models -- 1.2.2. Knowledge-oriented maturity models -- 1.3. Method -- 1.4. The CoMM -- 1.4.1. The development -- 1.4.2. The description -- 1.5. Application within a CKO professional association -- 1.5.1. Overview of need -- 1.5.2. Field application steps -- 1.5.3. Findings -- 1.5.4. Reflection on the field application of CoMM -- 1.6. Discussion and implications -- 1.7. Conclusion -- 1.8. Bibliography -- 1.9. Appendix -- Chapter 2 Social Networks: Leveraging User Social Data to Empower Collective Intelligence -- 2.1. Introduction -- 2.2. Collective intelligence by user-centered social network aggregation -- 2.3. Related works -- 2.4. Proposed system -- 2.4.1. User-centered social network aggregation -- 2.4.2. Personalized information filtering -- 2.4.3. Collaborative knowledge management -- 2.5. Decision support -- 2.6. Use scenario -- 2.7. Prototype -- 2.8. Conclusions and future work -- 2.9. Acknowledgments -- 2.10. Bibliography -- Chapter 3 Sociocultural Knowledge Management toward the Adaptation of a CSCL Environment -- 3.1. Introduction -- 3.2. The concept of culture and sociocultural factors -- 3.2.1. Culture in ethnology -- 3.2.2. Culture in psychology -- 3.2.3. Cultural properties -- 3.2.4. Models of national culture -- 3.2.5. Discussion -- 3.3. The relation between sociocultural human characteristics, KM and CSCL -- 3.3.1. CSCL and knowledge sharing -- 3.3.2. Culture, human mind and KM -- 3.3.3. Discussion -- 3.4. Sociocultural considerations in collaborative environments -- 3.4.1. Study of existing culturally sensitive tools -- 3.4.2. Limitations and findings -- 3.5. The proposed ontology-based sociocultural user profile.

3.6. The conceptual ontology framework based adaptation approach -- 3.7. The sociocultural aware KM system for CSCL -- 3.8. Conclusion and ongoing work -- 3.9. Bibliography -- Chapter 4 An Argumentation-based Rough Set Theory for Knowledge Management -- 4.1. Introduction -- 4.2. Background -- 4.2.1. Dominance-based rough set approach (DRSA) -- 4.2.2. Argumentation -- 4.2.3. Multiagent system -- 4.3. Related work -- 4.4. Multiagent argumentative approach -- 4.4.1. Interaction protocol -- 4.4.2. Arguments -- 4.4.3. Argument and counter-argument evaluation -- 4.4.4. Counter-argument construction -- 4.5. Example -- 4.6. Conclusion -- 4.7. Bibliography -- Chapter 5 Considering Tacit Knowledge When Bridging Knowledge Management and Information Systems for Collaborative Decision-Making -- 5.1. Introduction -- 5.2. Background theory -- 5.2.1. A vision of knowledge within the organization -- 5.2.2. Ethnographic workplace study: participation as a means to observe -- 5.2.3. Incommensurability: when communication breaks down -- 5.3. Proposition -- 5.3.1. Fieldwork through participant observation -- 5.3.2. Highlighting evidences and levels with ISO/IEC 15504 -- 5.3.3. Rating the attributes and assessing tacit knowledge consideration -- 5.4. Case study -- 5.4.1. Describing the field -- 5.4.2. Discussing the collected data and the results -- 5.5. Conclusions -- 5.6. Acknowledgments -- 5.7. Bibliography -- Chapter 6 Relevant Information Management in Microblogs -- 6.1. Introduction -- 6.2. Twitter IR -- 6.3. Features for tweet ranking -- 6.3.1. Feature set -- 6.3.2. Metric measure of the impact of criteria to improve search results -- 6.4. Experimental evaluation -- 6.4.1. Description of the collection -- 6.4.2. Results -- 6.5. Conclusion -- 6.6. Bibliography -- Chapter 7 A Legal Knowledge Management System Based on Core Ontology -- 7.1. Introduction.

7.2. Legal KM -- 7.2.1. Legal portals -- 7.2.2. Legal decision support systems and legal expert systems -- 7.2.3. Legal case-based reasoning -- 7.2.4. Legal ontology -- 7.3. Functional architecture of the system -- 7.4. Legal ontology construction approach -- 7.4.1. Existing ontology construction methodologies -- 7.4.2. Our approach -- 7.4.3. Our reference ontological framework -- 7.4.4. Our building blocks -- 7.4.5. Discussion -- 7.5. Jurisprudence decision structuring methodology (JDSM) -- 7.5.1. Thematic document structuring: some related works -- 7.5.2. Our methodology -- 7.6. Conclusion -- 7.7. Bibliography -- Chapter 8 Foundations for a Core Ontology of an Organization's Processes -- 8.1. Introduction -- 8.2. Our reference ontological framework -- 8.2.1. DOLCE -- 8.2.2. Actions, participation roles and participatory capacities -- 8.2.3. Artifacts -- 8.3. A core ontology of an organization's processes -- 8.3.1. Collective phenomena -- 8.3.2. Organizational phenomena -- 8.3.3. Process of organization -- 8.4. Discussion -- 8.5. Conclusion -- 8.6. Bibliography -- Chapter 9 A Business Process Evaluation Methodology for Knowledge Management Based on Multicriteria Decision-Making Approach -- 9.1. Introduction -- 9.2. Related works -- 9.3. Dominance-based rough set approach -- 9.4. BP evaluation methodology -- 9.4.1. Phase 1: preference model construction -- 9.4.2. Phase 2: exploitation of the preference model -- 9.5. The decision support system for identifying sensitive processes OP-DSS -- 9.5.1. Graphical interface -- 9.5.2. Model base -- 9.5.3. Database -- 9.5.4. Knowledge base -- 9.5.5. Implementation -- 9.6. Case study -- 9.7. Conclusion and futures works -- 9.8. Bibliography -- 9.9. Appendix 1. The set of criteria -- 9.10. Appendix 2. Contribution degree computing algorithm.

Chapter 10 A Collaborative Approach for Optimizing Continuity between Knowledge Codification with Knowledge Engineering Methods and Knowledge Transfer -- 10.1. Introduction -- 10.2. Factors influencing knowledge transfer -- 10.2.1. Characteristics of knowledge -- 10.2.2. Knowledge transfer channels -- 10.2.3. Absorptive capacity of knowledge receivers -- 10.2.4. Cultural and organizational contexts -- 10.3. Modes of knowledge transfer -- 10.3.1. Social exchange versus codification -- 10.3.2. Knowledge transfer models -- 10.4. Research methodology -- 10.4.1. Literature review -- 10.4.2. Focus groups for data collection and generation of testable propositions -- 10.5. Codifying with knowledge engineering methods: barriers for knowledge transfer -- 10.5.1. Multiplicity of formalisms -- 10.5.2. Heterogeneity of readers profiles -- 10.5.3. Background -- 10.5.4. Contexts of use -- 10.5.5. Preferences for logical structuring and understanding profile -- 10.5.6. Level of description of complex knowledge -- 10.5.7. Level of description of specific knowledge -- 10.5.8. Exchange channels to increase diffusion/transfer -- 10.6. Methodology for knowledge transfer efficiency -- 10.6.1. Capturing and codifying tacit knowledge domain -- 10.6.2. Defining and formalizing exchanges between groups of actors involved in the knowledge transfer process -- 10.7. Hydro Quebec case study -- 10.7.1. Approach -- 10.7.2. Results and implications -- 10.8. Discussion -- 10.8.1. About completeness of knowledge -- 10.8.2. Exploring ontologies for knowledge transfer -- 10.8.3. About costs -- 10.9. Conclusion -- 10.10. Bibliography -- List of Authors -- Index.