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

***Apologies for cross postings***

Call for Chapters
Proposals Submission Deadline: February 28, 2014
Full Chapters Due: June 30, 2014
Further details:


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:

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
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
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
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


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 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

Best regards,

Jose María Alvarez Rodríguez
Skype: josem.alvarez

Received on Thursday, 16 January 2014 11:11:26 UTC