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Subject:
From:
Giner Alor Hdez <[log in to unmask]>
Reply To:
Giner Alor Hdez <[log in to unmask]>
Date:
Fri, 22 Apr 2016 10:15:14 -0500
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Call for
Chapters Proposals

 “Current Trends on Knowledge-Based Systems:
Theory and Applications”

To be
published by Springer Verlag on Intelligent Systems Reference Library book series


 
 
  
  
  
  
  
  
  
  
  
  
  
  
 
 
 

 
               

 


 


 

Overview

Knowledge-based technologies are gaining momentum
and they are currently achieving a certain degree of maturity. They are
especially valuable in situations in which the amount of available information
is prohibitive for the intuition of an unaided human decision maker and in
which precision and optimality are of importance. Knowledge-based systems can
aid human cognitive deficiencies by integrating various sources of information,
providing intelligent access to relevant knowledge, and aiding the process of
structuring decisions. They can also support choice among well-defined
alternatives and build on formal approaches, such as the methods of engineering
economics, operations research, statistics analysis, and decision theory. They
can also employ artificial intelligence methods to address heuristically
problems that are intractable by formal techniques. They provide a consistent
and reliable basis to face the challenges for organization, manipulation and
visualization of the data and knowledge, playing a crucial role as the
technological basis of the development of a large number of Computational
Intelligence Systems. 

These technologies draw on standard and novel
techniques from various disciplines within Computer Science, including
Knowledge Engineering, Natural Language Processing, Decision Support Systems,
Artificial Intelligence, Databases, Software Agents, etc. The methods and tools
developed and integrated for this purpose are generic and have a very large
application potential in a large amounts of fields like Information Retrieval,
Semantic Searches, Information Integration, Information Interoperability, Bioinformatics,
eHealth, eLearning, Software Engineering, eCommerce, eGovernment, Social
Networks, eSupply Chain, etc.

The design tools for management knowledge allow the
industry to improve and learn from the experiences of their activities and
employees. This book proposal will consider the following industrial sectors,
but will not limited: Aerospace, Agriculture, Automotive, Banking, Business
Services, Food Manufacturing, Mining and Mineral Extraction, National
Government, Insurance, Energy Services and others.

The goal of this book will be disseminate current trends
among innovative and high-quality research regarding the implementation of
conceptual frameworks, strategies, techniques, methodologies, informatics
platforms and models for developing advanced Knowledge-based methods and
techniques and their application in different fields. 

 

Topic Coverage

Topics of interest in this book include, but are
not restricted to:

•     
Knowledge Representation
and Reasoning 

•     
Knowledge Acquisition 

•      Knowledge-Based Implementation techniques and
System Architectures

•      Application of Knowledge-Based Methods 

•      Software Tools for Knowledge-Based Systems
construction 

•      Knowledge Acquisition & Representation

•     
Ontological Engineering 

•     
Ontology Sharing and Reuse 

•     
Ontology Matching and
Alignment 

•     
Semantic Web Semantic
Integration of heterogeneous data sources

•     
Natural Language Processing


•     
Social Semantic Web

•     
Knowledge-based Decision
Support Systems 

•     
Linked Data Applications

•     
Supply Chain Knowledge
Management 

•      Decision-Support mechanisms 

•     
Knowledge, Industry and Environment

•     
Tools for Industrial
Knowledge Management

•     
Software to Modeling
Knowledge 

•     
Industrial applications and
Case-studies

 

Target audience

The target audience includes researchers,
practitioners and (Masters/PhD) students. Therefore, papers need to address
both scientific and practical implications of the research.

 

Type of contributions and
length

- Case studies: In-depth reports of KBS
implementations to support knowledge management in organizations or networks.

- Full research papers: Both quantitative and
qualitative contributions that study a particular aspect of Knowledge-Based
Systems. Only completed research will be considered, meaning that research in
progress will not be considered to be included in the book.

- Conceptual papers: Contributions that synthesize
existing studies.

 

Both type of contributions are typically 15 to 20
pages in length (excluding references) when applying the Springer formatting
instructions. Contributions should be original and not be submitted elsewhere.

 

Submission Guidelines and
Other Considerations

Chapters submitted must not have been previously
published or be under consideration for publication in other journals, books,
though they may represent significant extensions of prior work. All submitted chapters
will undergo a rigorous peer-review process (with at least two reviewers) that
will consider programmatic relevance, scientific quality, significance,
originality, style and clarity.

The acceptance process will focus on chapters that
address relevant contributions in the form of theoretical and experimental
research and case studies applying new perspectives for developing
Knowledge-Based Systems.  Before  submitting 
a  chapter proposal,  authors 
must  carefully  read 
over  the  Springer’s 
Author Guidelines.

Authors should submit their complete chapter via
email: [log in to unmask]
, [log in to unmask] and
the subject of the email should be: “Chapter Submission: KBS Theory and Applications”
according to the following timeline.

 

Important Dates

·       
Submission deadline: August 1st, 2016

·       
First selection of submissions: August 15th, 2016

·       
Completion of first‐round reviews: September 15th, 2016

·       
Revised chapters: 
October 1st, 2016

·       
Target of the second (last) round of reviews: October,
15h, 2016

·       
Publication (tentative): End of 2016

 

Editors

Giner Alor-Hernández, Instituto
Tecnológico de Orizaba, México ([log in to unmask]
)

Rafael Valencia-García, Universidad de
Murcia, Spain ([log in to unmask])



Giner Alor Hernández, Ph.D. 
Profesor Investigador 
División de Estudios de Postgrado e Investigación 
Instituto Tecnológico de Orizaba 
Avenida Oriente 9 No. 852 Col. Emiliano Zapata 
C. P. 94320 
Tel/Fax (272) 72 57056  
Orizaba, Veracruz, México 
  		 	   		   		 	   		  

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