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
Published on 10. April 2017
IX, 167 pages
978-3-319-55970-4 (ISBN)
Description
This book features a selection of papers presented at the Third IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2015, held in Buenos Aires, Argentina, in July 2015, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2015.
The 9 revised and extended papers were carefully reviewed and selected from 15 submissions. They present new research and innovative aspects in the field of knowledge management such as knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.
The 9 revised and extended papers were carefully reviewed and selected from 15 submissions. They present new research and innovative aspects in the field of knowledge management such as knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.
More details
Series
Edition
1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
IX, 167 p. 69 illus.
ISBN-13
978-3-319-55970-4 (9783319559704)
DOI
10.1007/978-3-319-55970-4
Schweitzer Classification
Other editions
Additional editions
Eunika Mercier-Laurent | Danielle Boulanger
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
Book
03/2017
Springer
€53.49
Shipment within 10-15 days
Content
- 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
- Author Index
