Information Systems for Knowledge Management

Inès Saad is Associate Professor in Information Systems at France Business School and head of the "Management Education and Digital Technologies" research center. She also heads a Knowledge Management team at the MIS laboratory at the University of Picardie Jules Verne, France. Her research interests include knowledge management, organizational memory, information systems, ontology, group decision-making and decision support systems.Camille Rosenthal-Sabroux is Full Professor at Dauphine University, Paris IX in France, as well as an advisor for some large companies on Information Systems, Knowledge Management, and Decision Aid. She was the founder of the SIGECAD Group. Her main research topics are: modeling languages (UML), decision aid, knowledge acquisition, knowledge management, and information systems.Faïez Gargouri is Professor in Computer Science at the Higher Institute of Computer Science and Multimedia at Sfax University, Tunisia, where he has been director of the MIRACL (Multimedia, InfoRmation systems and Advanced Computing Laboratory) research laboratory since October 2011. His research interests include business information systems, business intelligence, multimedia information systems, and ontology.

• Chapter 1. Assessing the Community Maturity from a Knowledge Management Perspective 1Imed BOUGHZALA1.1. Introduction 21.2. Background 41.2.1. Maturity models 41.2.2. Knowledge-oriented maturity models 51.3. Method 91.4. The CoMM 101.4.1. The development 101.4.2. The description 131.5. Application within a CKO professional association 181.5.1. Overview of need 181.5.2. Field application steps 191.5.3. Findings 201.5.4. Reflection on the field application of CoMM 231.6. Discussion and implications 241.7. Conclusion 251.8. Bibliography 261.9. Appendix 31Chapter 2. Social Networks: Leveraging User Social Data to Empower Collective Intelligence 33Xuan Truong VU, Marie-Hélène ABEL and Pierre MORIZET-MAHOUDEAUX2.1. Introduction 342.2. Collective intelligence by user-centered social network aggregation 352.3. Related works 372.4. Proposed system 402.4.1. User-centered social network aggregation 412.4.2. Personalized information filtering 452.4.3. Collaborative knowledge management 482.5. Decision support 502.6. Use scenario 532.7. Prototype 542.8. Conclusions and future work 572.9. Acknowledgment 582.10. Bibliography 58Chapter 3. Sociocultural Knowledge Management toward the Adaptation of a CSCL Environment 61Fadoua OUAMANI, Narjès Bellamine Ben SAOUD and Henda Hajjami Ben GHEZALA3.1. Introduction 613.2. The concept of culture and sociocultural factors 633.2.1. Culture in ethnology 643.2.2. Culture in psychology 653.2.3. Cultural properties 663.2.4. Models of national culture673.2.5. Discussion 703.3. The relation between sociocultural human characteristics, KM and CSCL 713.3.1. CSCL and knowledge sharing 713.3.2. Culture, human mind and KM 733.3.3. Discussion 743.4. Sociocultural considerations in collaborative environments 753.4.1. Study of existing culturally sensitive tools 753.4.2. Limitations and findings 763.5. The proposed ontology-based sociocultural user profile 783.6. The conceptual ontology framework based adaptation approach 823.7. The sociocultural aware KM system for CSCL833.8. Conclusion and ongoing work 863.9. Bibliography 87Chapter 4. An Argumentation-based Rough Set Theory for Knowledge Management  93Sarra BOUZAYANE, Imène BRIGUI-CHTIOUI, Inès SAAD4.1. Introduction 934.2. Background 954.2.1. Dominance-based rough set approach (DRSA) 954.2.2. Argumentation 974.2.3. Multiagent system 1044.3. Related work 1064.4. Multiagent argumentative approach 1164.4.1. Interaction protocol 1164.4.2. Arguments 1174.4.3. Argument and counter-argument evaluation 1204.4.4. Counter-argument construction 1214.5. Example 1234.6. Conclusion 1264.7. Bibliography 126Chapter 5. Considering Tacit Knowledge When Bridging Knowledge Management and Information Systems for Collaborative Decision-Making 131Pierre-Emmanuel ARDUIN, Camille ROSENTHAL-SABROUX, and Michel GRUNDSTEIN.5.1. Introduction 1325.2. Background theory 1335.2.1. A vision of knowledge within the organization 1335.2.2. Ethnographic workplace study: participation as a means to observe 1345.2.3. Incommensurability: when communication breaks down 1365.3. Proposition 1385.3.1. Fieldwork through participant observation 1395.3.2. Highlighting evidences and levels with ISO/IEC 15504 1415.3.3. Rating the attributes and assessing tacit knowledge consideration 1465.4. Case study 1495.4.1. Describing the field 1495.4.2. Discussing the collected data and the results 1515.5. Conclusions 1545.6. Acknowledgments 1555.7. Bibliography 156Chapter 6. Relevant Information Management in Microblogs 159Soumaya CHERICHI and Rim FAIZ6.1. Introduction 1606.2. Twitter IR 1616.3. Features for tweet ranking 1636.3.1. Feature set 1646.3.2. Metric measure of the impact of criteria to improve search results 1686.4. Experimental evaluation 1726.4.1. Description of the collection 1726.4.2. Results 1736.5. Conclusion 1766.6. Bibliography 177Chapter 7. A Legal Knowledge Management System Based on Core Ontology 183Karima DHOUIB and Faïez GARGOURI7.1. Introduction 1837.2. Legal KM 1857.2.1. Legal portals 1867.2.2. Legal decision support systems and legal expert systems 1877.2.3. Legal case-based reasoning 1877.2.4. Legal ontology 1887.3. Functional architecture of the system 1887.4. Legal ontology construction approach 1897.4.1. Existing ontology construction methodologies 1907.4.2. Our approach 1937.4.3. Our reference ontological framework 1967.4.4. Our building blocks 1987.4.5. Discussion 2017.5. Jurisprudence decision structuring methodology (JDSM) 2027.5.1. Thematic document structuring: some related works 2037.5.2. Our methodology 2047.6. Conclusion 2097.7. Bibliography 210Chapter 8. Foundations for a Core Ontology of an Organization's Processes 215Mohamed TURKI, Gilles KASSEL, Inès SAAD and Faïez GARGOURI8.1. Introduction 2168.2. Our reference ontological framework 2188.2.1. DOLCE 2208.2.2. Actions, participation roles and participatory capacities 2228.2.3. Artifacts 2248.3. A core ontology of an organization’s processes 2248.3.1. Collective phenomena 2268.3.2. Organizational phenomena 2318.3.3. Process of organization 2348.4. Discussion 2408.5. Conclusion 2438.6. Bibliography 244Chapter 9. A Business Process Evaluation Methodology for Knowledge Management Based on Multicriteria Decision-Making Approach 249Mohamed TURKI, Inès SAAD, Faïez GARGOURI and Gilles KASSEL9.1. Introduction 2499.2. Related works 2529.3. Dominance-based rough set approach 2549.4. BP evaluation methodology 2569.4.1. Phase 1: preference model construction 2579.4.2. Phase 2: exploitation of the preference model 2629.5. The decision support system for identifying sensitive processes OP-DSS 2649.5.1. Graphical interface 2649.5.2. Model base 2659.5.3. Database 2659.5.4. Knowledge base 2679.5.5. Implementation 2689.6. Case study 2719.7. Conclusion and futures works 2729.8. Bibliography 2739.9. Appendix 1. The set of criteria 2759.10. Appendix 2. Contribution degree computing algorithm 277Chapter 10. A Collaborative Approach for Optimizing Continuity between Knowledge Codification with Knowledge Engineering Methods and Knowledge Transfer 279Thierno TOUNKARA10.1. Introduction 27910.2. Factors influencing knowledge transfer 28010.2.1. Characteristics of knowledge 28110.2.2. Knowledge transfer channels 28310.2.3. Absorptive capacity of knowledge receivers 28410.2.4. Cultural and organizational contexts 28510.3. Modes of knowledge transfer 28610.3.1. Social exchange versus codification 28610.3.2. Knowledge transfer models 28610.4. Research methodology 29010.4.1. Literature review 29010.4.2. Focus groups for data collection and generation of testable propositions 29010.5. Codifying with knowledge engineering methods: barriers for knowledge transfer 29310.5.1. Multiplicity of formalisms 29410.5.2. Heterogeneity of readers profiles 29510.5.3. Background 29510.5.4. Contexts of use 29510.5.5. Preferences for logical structuring and understanding profile 29510.5.6. Level of description of complex knowledge 29610.5.7. Level of description of specific knowledge 29610.5.8. Exchange channels to increase diffusion/transfer 29710.6. Methodology for knowledge transfer efficiency 29810.6.1. Capturing and codifying tacit knowledge domain 29810.6.2. Defining and formalizing exchanges between groups of actors involved in the knowledge transfer process 29810.7. Hydro Quebec case study 30210.7.1. Approach 30310.7.2. Results and implications 30410.8. Discussion 30510.8.1. About completeness of knowledge 30510.8.2. Exploring ontologies for knowledge transfer 30510.8.3. About costs 30610.9. Conclusion 30610.10. Bibliography 307List of Authors 311Index 313