Artificial Intelligence for Knowledge Management

Name: Artificial Intelligence for Knowledge Management | Third IFIP WG 12.6 International Workshop, AI4KM 2015, Held at IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, Revised Selected Papers
Brand: Springer
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Third IFIP WG 12.6 International Workshop, AI4KM 2015, Held at IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015, Revised Selected Papers

Eunika Mercier-Laurent Danielle Boulanger(Herausgeber*in)

Springer (Verlag)

Erschienen am 10. April 2017

IX, 167 Seiten

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978-3-319-55970-4 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
Knowledge-Grid Modelling for Academic Purposes
Abstract
1 Introduction
2 Knowledge Grid and Ontology
3 Selected Domains of University Knowledge Management
4 Ontology of Academic Knowledge
4.1 Short Presentation of Ontorion
4.2 Models of a University Knowledge Ontology
5 Conclusions
References
A Knowledge Engineering Perspective of Knowledge Management: How to Manage Project Meeting Knowledge
Abstract
1 Introduction
2 Related Works
3 Knowledge and Classification
4 Project Meeting Knowledge and CKD
4.1 Problem-Solving
4.2 Project Organization
5 Case Studies
5.1 Software Design
5.2 System Design
6 Discussion
7 Conclusion
References
Web of Data Evolution by Exploiting Agent Based-Argumentation
1 Introduction
2 Problem Definition
3 Proposed Approach
3.1 Framework Description
4 The Argumentation Approach
4.1 The Argumentation for Consistency
4.2 Arguments Generation Process
4.3 Accepted and Considered Arguments
5 An Illustrative Example
6 Related Works
7 Conclusion
References
Content Management Systems Based on GNU GPL License as a Support of Knowledge Management in Organiza ...
Abstract
1 Introduction
2 Meaning of Content Management
3 Usage of Content Management Systems
4 GNU GPL License as a Tool Supporting CMS Developing
5 Deployment of CMS in Knowledge Management
6 Conclusion
References
Context Aware Knowledge Zoning: Traceability and Business Emails
Abstract
1 Introduction
2 Related Works
2.1 Project Memory
2.2 Competencies Modeling
2.3 Emails and Pragmatics
3 Problem Statement
4 Context Aware Knowledge Zoning
4.1 Overview
4.2 Common Definition
4.3 Features Vector
5 Experiment and Analysis
5.1 Project Team
5.2 Corpus
5.3 Results and Performances
5.4 Discussion
6 Conclusion and Future Works
References
From Knowledge to Sign Management: A Co-design Methodology for Biodiversity and Music Enhancement
Abstract
1 Introduction
2 From Knowledge to Sign Management
3 Biodiversity and Music Enhancement
4 A Co-design Methodology for Making e-Services
5 The Cooking Method of Co-design
6 E-guitar Example
7 Conclusion
References
Learning from Daily Knowledge: How to Keep Track and to Represent Design Projects Knowledge
Abstract
1 Introduction
2 Knowledge from Cooperative Activity
2.1 Difference on the Nature of Captured Knowledge
2.2 Difference on the Dimension to be Considered
2.3 Difference on Capturing of Knowledge
3 Capturing and Representing Daily Knowledge
3.1 Traceability of information
3.2 Keeping Track of Decision Meetings
3.3 Memory Meetings
3.3.1 Memory Meetings Record
3.3.2 Memory Meetings Report
4 Structuring Traces
5 Integration of Knowledge Extracted into Work Environment
5.1 PLM
5.2 Windchill and Project Management
5.3 The Organizations of Elements in Windchill
5.4 Project Memory Within Windchill
6 Knowledge Discovery by Classification
6.1 Classification
6.2 CKD "Collaborative Knowledge Discovery" Approach
7 Example in Software Engineering
7.1 Information Traceability of the Tabspec Projects
7.2 Classification of Tabspec Projects
8 Conclusion
References
Building Time-Affordable Cultural Ontologies Using an Emic Approach
1 Introduction
2 Emic-Based Cultural Knowledge Representations
2.1 Ethnographic Sampling
2.2 Individuals' Personal Knowledge Elicitation
2.3 Cultural Consensus Analysis
3 Formal Cultural Knowledge Representations
3.1 Ontologies
3.2 METHONTOLOGY
4 Building Time-Affordable, Formal and Emic-Based Cultural Representations
4.1 Selecting Individuals Based on Shared Social Criteria
4.2 Eliciting Automatically Individuals' Knowledge from Texts
4.3 Aggregating Concepts and Lexico-Semantic Relations
4.4 Ontologizing Concepts and Lexico-Semantic Relations
5 Experiments
5.1 Settings
5.2 Evaluation
6 Conclusion
A Samples with Their Respective Individuals
B Individuals with Their Number of Valid Sentences
References
Artificial Intelligence for Successful Kflow
Abstract
1 Introduction
2 State of the Art
3 AI Contribution to KM
3.1 Knowledge Flow
3.2 Organizing and Optimizing the Sources of Knowledge
3.3 Facilitating Knowledge Creation
3.4 Smart Finding and Share
3.5 Collective Knowledge and Experience
3.6 Decision Support (Diagnosis, Process Control, Optimization.)
3.7 Training and Education
3.8 Help to Innovate
3.9 IOT
3.10 Risks Management
4 Feedback from Experiences
5 Discussion and Perspectives
References
Erratum to: Knowledge-Grid Modelling for Academic Purposes
Erratum to: Chapter "Knowledge-Grid Modelling for Academic Purposes" in: E. Mercier-Laurent and D. Boulanger (Eds.): Artificial Intelligence for Knowledge Management, IFIP AICT, DOI: 10.1007/978-3-319-55970-4_1
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