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Advances in information systems set . Volume 4 Information and recommender systems / / Elsa Negre ; coordinated by Camille Rosenthal-Sabroux
| Advances in information systems set . Volume 4 Information and recommender systems / / Elsa Negre ; coordinated by Camille Rosenthal-Sabroux |
| Autore | Negre Elsa |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (79 pages) |
| Disciplina | 004 |
| Collana | Information Systems, Web and Pervasive Computing Series |
| Soggetto topico |
Information technology
Recommender systems (Information filtering) |
| ISBN |
1-119-10295-2
1-119-10277-4 1-119-10311-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A few important details before we begin -- Recommender systems -- Key concepts, useful measures and techniques -- Practical implementations -- Evaluating the quality of recommender systems. |
| Record Nr. | UNINA-9910131384003321 |
Negre Elsa
|
||
| Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in information systems set . Volume 4 Information and recommender systems / / Elsa Negre ; coordinated by Camille Rosenthal-Sabroux
| Advances in information systems set . Volume 4 Information and recommender systems / / Elsa Negre ; coordinated by Camille Rosenthal-Sabroux |
| Autore | Negre Elsa |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (79 pages) |
| Disciplina | 004 |
| Collana | Information Systems, Web and Pervasive Computing Series |
| Soggetto topico |
Information technology
Recommender systems (Information filtering) |
| ISBN |
1-119-10295-2
1-119-10277-4 1-119-10311-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A few important details before we begin -- Recommender systems -- Key concepts, useful measures and techniques -- Practical implementations -- Evaluating the quality of recommender systems. |
| Record Nr. | UNINA-9910830630803321 |
|
Negre Elsa
|
||
| Hoboken, New Jersey : , : ISTE : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Information Systems, Artificial Intelligence and Knowledge Management [[electronic resource] ] : 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Salem Chakhar, Nigel Williams, Ella Haig
| Advances in Information Systems, Artificial Intelligence and Knowledge Management [[electronic resource] ] : 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22–23, 2023, Proceedings / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri, Salem Chakhar, Nigel Williams, Ella Haig |
| Autore | Saad Inès |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (352 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
Rosenthal-SabrouxCamille
GargouriFaiez ChakharSalem WilliamsNigel HaigElla |
| Collana | Lecture Notes in Business Information Processing |
| Soggetto topico |
Application software
Expert systems (Computer science) Machine learning Computer and Information Systems Applications Knowledge Based Systems Machine Learning |
| ISBN | 3-031-51664-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Decision Making, Recommender Systems, and Information Support Systems -- Models-simulators in business decision-making processes for pharmaceutical enterprises -- Decision and Information Support System to implement the Framework of Twelve steps for building decision models -- Graph Representation Learning for Recommendation Systems: A short review -- FITradeoff Decision Support System applied to solve a Supplier Selection Problem -- A Step-by-Step Decision Process to Support Application Migration to the Cloud-Native Architecture -- Information Systems and Machine Learning -- ACTIVE SMOTE for Imbalanced Medical Data Classification -- Evolutionary Graph-Clustering vs Evolutionary Cluster-Detection Approaches for Community Identification in PPI Networks -- Predictive monitoring of business process execution delays -- An accurate Random Forest-based Action Recognition Technique using only velocity and landmarks’ distances -- Efficient topic Detection using an Adaptive Neural Network architecture -- Exploiting Machine Learning Technique for attack detection in Intrusion Detection System (IDS) based on Protocol -- Robust Aggregation Function in Federated Learning -- Knowledge Management, Context and Ontology -- Should I Share or Should I Go? A Study of Tacit Knowledge Sharing Behaviors in Extended Enterprises -- Designing a User Contextual Profile Ontology: A Focus on the Vehicle Sales Domain -- Management of Implicit Ontology Changes Generated by Non-conservative JSON Instance Updates in the τJOWL Environment -- A Model Driven Architecture approach for implementing sensitive business processes -- Extension of the functional dimension of BPMN based on MDA approach for sensitive business processes execution -- Inclusive Mobile Health System for Yoruba Race in Nigeria -- Cybersecurity and Intelligent Systems -- Epistemology for Cyber Security: A Controlled Natural Language Approach -- Application of fuzzy decision support systems in IT industry functioning -- Moving towards explainable AI using Fuzzy Networks in decision making process -- Natural Language Processing for Decision Systems -- Sentiment Analysis: Effect of Combining BERT as an Embedding Technique with CNN Model for Tunisian Dialect -- An Enhanced Machine Learning-Based Analysis of Teaching and Learning Process for Higher Education System -- Topic Modelling of Legal Texts using bidirectional encoder representations from Sentence Transformers. |
| Record Nr. | UNINA-9910805579703321 |
|
Saad Inès
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information and knowledge system / / Pierre-Emmanuel Arduin, Michel Grundstein, Camille Rosenthal-Sabroux
| Information and knowledge system / / Pierre-Emmanuel Arduin, Michel Grundstein, Camille Rosenthal-Sabroux |
| Autore | Arduin Pierre-Emmanuel |
| Pubbl/distr/stampa | London : , : ISTE, , 2015 |
| Descrizione fisica | 1 online resource (105 p.) |
| Disciplina | 004 |
| Collana |
Information systems, web and pervasive computing series
Advances in information systems set |
| Soggetto topico |
Information resources management
Information technology Knowledge management |
| ISBN |
1-119-18728-1
1-119-11616-3 1-119-18729-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Introduction; 1: Information Systems and Digital Technology; 1.1. The concept of information systems; 1.2. History of the concept of information systems; 1.2.1. The centralized processing stage (1950's-1960's); 1.2.2. The data decentralization stage (1970's-1990's); 1.2.3. The interoperability and standardization stage (1990's); 1.2.4. The universality and globalization stage (2000 onward); 1.3. What is "digital" technology?; 1.4. Information systems and digital technology for business; 1.5. Key points; 2: Knowledge Management
2.1. Historical overview 2.2. Knowledge Management: two dominant approaches; 2.2.1. The technological approach; 2.2.2. The managerial and sociotechnical approach to KM; 2.3. Specific management principles for KM; 2.3.1. Definition of Knowledge Management; 2.3.2. The organizational context; 2.3.2.1. The sociotechnical environment; 2.3.2.2. Value-adding processes; 2.3.3. The vision; 2.3.4. Guiding principles; 2.3.5. Ad hoc infrastructures; 2.3.5.1. The concept of Ba; 2.3.5.2. The "semi-open operating mode"; 2.3.6. Generic KM processes; 2.3.6.1. Knowledge localization 2.3.6.2. Knowledge preservation 2.3.6.3. Knowledge valorization; 2.3.6.4. Knowledge actualization; 2.3.6.5. Organizational learning processes; 2.3.7. Methods and tools for KM; 2.4. A model for general knowledge management within the enterprise (MGKME); 2.4.1. Description of the MGKME; 2.4.2. State indicators for knowledge management systems; 2.5. Conclusions; 2.6. Key points; 3: The Enterprise's Information and Knowledge System (EIKS); 3.1. Basic theories; 3.1.1. Three fundamental postulates; 3.1.2. Creation of individual and tacit knowledge 3.1.3. Commensurability of interpretative frameworks 3.1.4. Conditions in which knowledge can be assimilated to an object; 3.2. The enterprise's information and knowledge system; 3.3. A knowledge system is not a knowledge-based system; 3.4. Evolution of an EIKS; 3.5. Representative example of an EIKS; 3.5.1. Presentation of the context; 3.5.2. EIKS in this context; 3.6. Key points; Conclusions and Perspectives; Appendix: Seven Golden Rules for Successful Knowledge Management; A.1. Clearly differentiate between the two types of knowledge in the company A.2. Increase the focus on individual knowledge A.3. Do not confuse skills with competence; A.4. Avoid considering knowledge as objects; A.5. Clearly differentiate between the three types of informa; A.6. Correctly position the concept of knowledge management; A.7. Include all four dimensions of KM; A.7.1. The economic and strategic dimension; A.7.2. The organizational dimension; A.7.3. The sociocultural dimension; A.7.4. The technological dimension; Bibliography; Index |
| Record Nr. | UNINA-9910131494603321 |
|
Arduin Pierre-Emmanuel
|
||
| London : , : ISTE, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information and knowledge system / / Pierre-Emmanuel Arduin, Michel Grundstein, Camille Rosenthal-Sabroux
| Information and knowledge system / / Pierre-Emmanuel Arduin, Michel Grundstein, Camille Rosenthal-Sabroux |
| Autore | Arduin Pierre-Emmanuel |
| Pubbl/distr/stampa | London : , : ISTE, , 2015 |
| Descrizione fisica | 1 online resource (105 p.) |
| Disciplina | 004 |
| Collana |
Information systems, web and pervasive computing series
Advances in information systems set |
| Soggetto topico |
Information resources management
Information technology Knowledge management |
| ISBN |
1-119-18728-1
1-119-11616-3 1-119-18729-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Introduction; 1: Information Systems and Digital Technology; 1.1. The concept of information systems; 1.2. History of the concept of information systems; 1.2.1. The centralized processing stage (1950's-1960's); 1.2.2. The data decentralization stage (1970's-1990's); 1.2.3. The interoperability and standardization stage (1990's); 1.2.4. The universality and globalization stage (2000 onward); 1.3. What is "digital" technology?; 1.4. Information systems and digital technology for business; 1.5. Key points; 2: Knowledge Management
2.1. Historical overview 2.2. Knowledge Management: two dominant approaches; 2.2.1. The technological approach; 2.2.2. The managerial and sociotechnical approach to KM; 2.3. Specific management principles for KM; 2.3.1. Definition of Knowledge Management; 2.3.2. The organizational context; 2.3.2.1. The sociotechnical environment; 2.3.2.2. Value-adding processes; 2.3.3. The vision; 2.3.4. Guiding principles; 2.3.5. Ad hoc infrastructures; 2.3.5.1. The concept of Ba; 2.3.5.2. The "semi-open operating mode"; 2.3.6. Generic KM processes; 2.3.6.1. Knowledge localization 2.3.6.2. Knowledge preservation 2.3.6.3. Knowledge valorization; 2.3.6.4. Knowledge actualization; 2.3.6.5. Organizational learning processes; 2.3.7. Methods and tools for KM; 2.4. A model for general knowledge management within the enterprise (MGKME); 2.4.1. Description of the MGKME; 2.4.2. State indicators for knowledge management systems; 2.5. Conclusions; 2.6. Key points; 3: The Enterprise's Information and Knowledge System (EIKS); 3.1. Basic theories; 3.1.1. Three fundamental postulates; 3.1.2. Creation of individual and tacit knowledge 3.1.3. Commensurability of interpretative frameworks 3.1.4. Conditions in which knowledge can be assimilated to an object; 3.2. The enterprise's information and knowledge system; 3.3. A knowledge system is not a knowledge-based system; 3.4. Evolution of an EIKS; 3.5. Representative example of an EIKS; 3.5.1. Presentation of the context; 3.5.2. EIKS in this context; 3.6. Key points; Conclusions and Perspectives; Appendix: Seven Golden Rules for Successful Knowledge Management; A.1. Clearly differentiate between the two types of knowledge in the company A.2. Increase the focus on individual knowledge A.3. Do not confuse skills with competence; A.4. Avoid considering knowledge as objects; A.5. Clearly differentiate between the three types of informa; A.6. Correctly position the concept of knowledge management; A.7. Include all four dimensions of KM; A.7.1. The economic and strategic dimension; A.7.2. The organizational dimension; A.7.3. The sociocultural dimension; A.7.4. The technological dimension; Bibliography; Index |
| Record Nr. | UNISA-996217900403316 |
|
Arduin Pierre-Emmanuel
|
||
| London : , : ISTE, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Information and knowledge system / / Pierre-Emmanuel Arduin, Michel Grundstein, Camille Rosenthal-Sabroux
| Information and knowledge system / / Pierre-Emmanuel Arduin, Michel Grundstein, Camille Rosenthal-Sabroux |
| Autore | Arduin Pierre-Emmanuel |
| Pubbl/distr/stampa | London : , : ISTE, , 2015 |
| Descrizione fisica | 1 online resource (105 p.) |
| Disciplina | 004 |
| Collana |
Information systems, web and pervasive computing series
Advances in information systems set |
| Soggetto topico |
Information resources management
Information technology Knowledge management |
| ISBN |
1-119-18728-1
1-119-11616-3 1-119-18729-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface; Introduction; 1: Information Systems and Digital Technology; 1.1. The concept of information systems; 1.2. History of the concept of information systems; 1.2.1. The centralized processing stage (1950's-1960's); 1.2.2. The data decentralization stage (1970's-1990's); 1.2.3. The interoperability and standardization stage (1990's); 1.2.4. The universality and globalization stage (2000 onward); 1.3. What is "digital" technology?; 1.4. Information systems and digital technology for business; 1.5. Key points; 2: Knowledge Management
2.1. Historical overview 2.2. Knowledge Management: two dominant approaches; 2.2.1. The technological approach; 2.2.2. The managerial and sociotechnical approach to KM; 2.3. Specific management principles for KM; 2.3.1. Definition of Knowledge Management; 2.3.2. The organizational context; 2.3.2.1. The sociotechnical environment; 2.3.2.2. Value-adding processes; 2.3.3. The vision; 2.3.4. Guiding principles; 2.3.5. Ad hoc infrastructures; 2.3.5.1. The concept of Ba; 2.3.5.2. The "semi-open operating mode"; 2.3.6. Generic KM processes; 2.3.6.1. Knowledge localization 2.3.6.2. Knowledge preservation 2.3.6.3. Knowledge valorization; 2.3.6.4. Knowledge actualization; 2.3.6.5. Organizational learning processes; 2.3.7. Methods and tools for KM; 2.4. A model for general knowledge management within the enterprise (MGKME); 2.4.1. Description of the MGKME; 2.4.2. State indicators for knowledge management systems; 2.5. Conclusions; 2.6. Key points; 3: The Enterprise's Information and Knowledge System (EIKS); 3.1. Basic theories; 3.1.1. Three fundamental postulates; 3.1.2. Creation of individual and tacit knowledge 3.1.3. Commensurability of interpretative frameworks 3.1.4. Conditions in which knowledge can be assimilated to an object; 3.2. The enterprise's information and knowledge system; 3.3. A knowledge system is not a knowledge-based system; 3.4. Evolution of an EIKS; 3.5. Representative example of an EIKS; 3.5.1. Presentation of the context; 3.5.2. EIKS in this context; 3.6. Key points; Conclusions and Perspectives; Appendix: Seven Golden Rules for Successful Knowledge Management; A.1. Clearly differentiate between the two types of knowledge in the company A.2. Increase the focus on individual knowledge A.3. Do not confuse skills with competence; A.4. Avoid considering knowledge as objects; A.5. Clearly differentiate between the three types of informa; A.6. Correctly position the concept of knowledge management; A.7. Include all four dimensions of KM; A.7.1. The economic and strategic dimension; A.7.2. The organizational dimension; A.7.3. The sociocultural dimension; A.7.4. The technological dimension; Bibliography; Index |
| Record Nr. | UNINA-9910820514103321 |
|
Arduin Pierre-Emmanuel
|
||
| London : , : ISTE, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making : 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings
| Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making : 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings |
| Autore | Saad Inès |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (190 pages) |
| Altri autori (Persone) |
Rosenthal-SabrouxCamille
GargouriFaiez ArduinPierre-Emmanuel |
| Collana | Lecture Notes in Business Information Processing |
| ISBN | 3-030-85977-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464382403316 |
|
Saad Inès
|
||
| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making : 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings
| Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making : 5th International Conference, ICIKS 2021, Virtual Event, June 22-23, 2021, Proceedings |
| Autore | Saad Inès |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (190 pages) |
| Altri autori (Persone) |
Rosenthal-SabrouxCamille
GargouriFaiez ArduinPierre-Emmanuel |
| Collana | Lecture Notes in Business Information Processing |
| ISBN | 3-030-85977-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910495248703321 |
|
Saad Inès
|
||
| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information systems for knowledge management / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri
| Information systems for knowledge management / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (326 p.) |
| Disciplina | 658.4038011 |
| Collana | Cognitive Science and Knowledge Management Series |
| Soggetto topico |
Information resources management
Knowledge management Information technology - Management |
| ISBN |
1-118-92066-X
1-118-92061-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 Intelligence2.1. 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. Introduction3.2. 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 approach3.7. 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. BibliographyChapter 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 |
| Record Nr. | UNINA-9910132227703321 |
| London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information systems for knowledge management / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri
| Information systems for knowledge management / / edited by Inès Saad, Camille Rosenthal-Sabroux, Faiez Gargouri |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (326 p.) |
| Disciplina | 658.4038011 |
| Collana | Cognitive Science and Knowledge Management Series |
| Soggetto topico |
Information resources management
Knowledge management Information technology - Management |
| ISBN |
1-118-92066-X
1-118-92061-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 Intelligence2.1. 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. Introduction3.2. 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 approach3.7. 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. BibliographyChapter 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 |
| Record Nr. | UNINA-9910813705003321 |
| London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
