Call for Chapters: Handbook of Research on Intelligent Big Data and Semantic-Based Analysis and Governance

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Jose María Alvarez Rodríguez

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Jan 16, 2014, 6:10:50 AM1/16/14
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Call for Chapters
Proposals Submission Deadline: February 28, 2014
Full Chapters Due: June 30, 2014

Objective
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This book aims to collect those novel works and techniques that enable a fully processing and understanding of human opinions applying or enhancing existing AI and Big Data analytics techniques through semantics. Thus, the book seeks for researchers from Computer Science, Information Science, Artificial Intelligence, Data Mining, Knowledge representation Natural Language Processing, Cloud Computing, Distributed Systems, Cognitive Computing and related areas to share research challenges, results, methods and advances in the application of semantics and Big Data as an important key process in the new data environment, paying special attention in papers which covers the direct application or creation of advanced techniques based on processing Big Data with semantic-based approaches.

Target Audience
-----------------------------

The subject area is a combination of semantic-based technologies, Linked Data, Big Data, Cloud Computing, Expert Systems, Business, Management, Information Technologies and Information Systems in which a broad scope of audience is interested in: Politicians, Professors in academia, Policy Makers, Government officers, Students, Corporate heads of firms, Senior general managers, Managing directors, Board directors, Academics and researchers in the field both in universities and business schools, Information technology directors and managers, Quality managers and directors, Human resource directors, Libraries and information centers serving the needs of the above among others.

Recommended Topics
------------------------------------

The topics of interest include, but are not limited to:

-Foundations
Algorithms and programming techniques for large data processing
Predictive/Prescriptive Analytics and data mining
Real-time processing
Intelligent monitoring and analysis techniques
Fallacies and myths of Big Data and Semantics
Subjectivity and sentiment annotation
Concept extraction
Sentiment-based indexing and information retrieval
Emotions management: face to face, music, pictures, videos, etc
Algorithms and programming techniques for large data processing
Sentiment reasoning
Natural Language Processing
Semantic-based sentiment management
Fallacies and myths
-Architecture
Cross-scale data architectures
Large-scale hybrid architectures
Cloud platforms, services and Big Data
Management and Governance
Large scale Knowledge management
Large data storage techniques
Distributed query languages
Grid platforms
Management and Governance
Large scale Knowledge management
Large data storage techniques
Distributed query languages
-Exploitation
Decision support systems
Complex event reasoning and processing of rare patterns
Sensor data streams: continuous queries and processing
Design-time analysis and prediction of complex systems variables
-Data-driven application and use cases
Smart environments and data applications
Social networks analysis
Big social and semantic data analysis
Semantic-based Visualization of large datasets
Scientific applications
Sensor networks
Context-aware applications and personalization
Domains: e-Health, e-Government, Bioinformatics, Social networks, Opinion mining, etc.
-Sentiment-driven application and use cases
Social networks analysis
Opinion mining
Big social and semantic data analysis
Sentiment visualization
Context-aware and sentiment-based applications and personalization
Domains: banking, e-Health, e-Government, Bioinformatics, Social networks,  Opinion mining, etc.
Expressive media
-Benchmarking
Validation and benchmarking of hybrid architectures
Assessment, metrics, parameters, methods and benchmarks for Big Data systems


Submission Procedure
----------------------------------

Researchers and practitioners are invited to submit on or before February 28, 2014, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Submissions should be made through the link at the bottom of this page. Authors of accepted proposals will be notified by May 15, 2014 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by June 30, 2014. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Publisher
---------------

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2015.

Important Dates
------------------------
1st Proposal Submission Deadline: February 28, 2014
2nd Proposal Submission Deadline: March 30, 2014
Last Call for Proposals: April 30, 2014
Full chapter Submission: June 30, 2014
Review Process: June 30, 2014 –August 15, 2014
Review Results to Authors: August 30, 2014
Revised Chapter Submission: September 30, 2014
Final Acceptance Notifications: October 15, 2014
Submission of Final Chapters: November 1, 2014
Final Deadline: December 30, 2014
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Best regards,


--
Jose María Alvarez Rodríguez
WWW: www.josemalvarez.es
Skype: josem.alvarez

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