<p><P>Inconsistent knowledge management is a common sub-field of knowledge management and conflict resolution. It deals with methods for reconciling inconsistent contents of knowledge originating from different sources. This book presents a unified and systematic description of a wide class of misce
Advanced Methods for Inconsistent Knowledge Management
โ Scribed by Professor Ngoc Thanh Nguyen DSc, PhD (auth.)
- Publisher
- Springer-Verlag London
- Year
- 2008
- Tongue
- English
- Leaves
- 359
- Series
- Advanced Information and Knowledge Processing
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Inconsistent knowledge management is a common sub-field of knowledge management and conflict resolution. It deals with methods for reconciling inconsistent contents of knowledge originating from different sources. This book presents a unified and systematic description of a wide class of miscellaneous problems of inconsistent knowledge management, analyzed by traditional mathematical methods using relational and logical representations. With special emphasis on the distribution aspect of knowledge inconsistency, Professor Nguyen provides a unique approach to formal models of inconsistency and algorithms for its resolution.
Features & topics include:
โข Consensus as a tool for conflict solving
โข Inconsistency of knowledge โ syntactic & semantic
โข Knowledge conflict model
โข Ontology Integration
โข Practical aspects of applications of proposed methods
This book provides a broad snapshot of intelligent technologies for inconsistency resolution and offers an invaluable source of reference on the topic. Written for researchers and students in the field of knowledge management, conflict solution and intelligent systems, this book will also be of use to designers of multi-agent and information systems and specialists from social choice theory, and all interested in the problems of processing and managing inconsistent knowledge.
โฆ Table of Contents
Front Matter....Pages i-xii
Inconsistency of Knowledge....Pages 1-12
Model of Knowledge Conflict....Pages 13-46
Consensus as a Tool for Conflict Solving....Pages 47-100
Model for Knowledge Integration....Pages 101-122
Processing Inconsistency on the Syntactic Level....Pages 123-163
Processing Inconsistency on the Semantic Level....Pages 165-201
Consensus for Fuzzy Conflict Profiles....Pages 203-222
Processing Inconsistency of Expert Knowledge....Pages 223-239
Ontology Integration....Pages 241-262
Application of Inconsistency Resolution Methods in Intelligent Learning Systems....Pages 263-306
Processing Inconsistency in Information Retrieval....Pages 307-333
Conclusions....Pages 335-336
Back Matter....Pages 337-351
โฆ Subjects
Algorithm Analysis and Problem Complexity; Information Storage and Retrieval; Information Systems Applications (incl.Internet); Artificial Intelligence (incl. Robotics); Document Preparation and Text Processing; Management of Computing a
๐ SIMILAR VOLUMES
This book is a first. It fills a major gap in the market and provides a wide snapshot of intelligent technologies for inconsistency resolution. The need for this resolution of knowledge inconsistency arises in many practical applications of computer systems. This kind of inconsistency results from t
<p>The book consists of 29 extended chapters which have been selected and invited from the submissions to the <i>1<sup>st</sup> International Conference on Computer Science, Applied Mathematics and Applications</i> (ICCSAMA 2013) held on 9-10 May, 2013 in Warsaw, Poland. The book is organized into f
<p>The book consists of 29 extended chapters which have been selected and invited from the submissions to the <i>1<sup>st</sup> International Conference on Computer Science, Applied Mathematics and Applications</i> (ICCSAMA 2013) held on 9-10 May, 2013 in Warsaw, Poland. The book is organized into f
This book brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery. An overview of the field, looking at the issues and challenges involved is followed by coverage of recent trends in data mining. This provides t
<p><P><EM>Advanced Methods for Knowledge Discovery from Complex Data</EM> brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery, where the information is mined from complex data, such as unstructured text from