The Information Fusion Journal is planning a special issue on “Social Big Data with Information Fusion”. We are now facing a new IT paradigm called “Big Data.” Social networking services are strongly related to the “Big Data” issues. As we have various types of feasible information from “Big Data” sources, e.g., medical records, bioinformatics, and social media, it is becoming increasingly more difficult to efficiently develop social networking services. Efficient information management remains a challenge in many research areas, e.g., knowledge acquisition, reuse evaluation as well as integration. Also, given the number of diverse information fusion system architectures that are involved in these areas, they need to exploit relevant solutions to support a number of intelligent services (e.g., knowledge management and decision making).

In this special issue, we plan to focus on various research and application issues in largescale social networks built around a variety of intelligent systems. The aim of this issue is to bring together researchers and practitioners in areas of information management and knowledge-based systems to share their research achievements and experiences which explicitly involve information fusion concepts and techniques.

Manuscripts (which should be original and not previously published either in full or in part or presented even in a more or less similar form at any other forum) covering unpublished research in processing and analyzing social big data that clearly delineate the role of information fusion in the context of intelligent social services are invited. Absolutely no cut and pastes from prior publications (of text and/or figures or tables or other illustrations) will be permitted. This is a mandatory requirement. All such reproduced material should be excluded by generous use of citations to the relevant prior publications wherever necessary within the text of the Journal submission. Such related papers, if any, should also be submitted online along with the m/s designating them as companion files.

Please note that all submissions will be evaluated for overlap with published literature using .I-thenticate CROSS-CHECK or similar software and even modestly high scores may result in the manuscript being rejected without formal review.

The manuscript will be judged solely on the basis of new contributions excluding the contributions made in earlier publications. Contributions should be described in sufficient detail to be reproducible on the basis of the material presented in the paper and the references cited therein.

Topics appropriate for this special issue include (but are not necessarily limited to):

Multiple and Distributed Information Fusion Architectures for Social Big Data
Knowledge management and discovery with Social Big Data
LOD and Ontology Management with Social Big Data
Integration of KBS by using Social Big Data
Knowledge inconsistency on distributed computing
Database and Information Retrieval Systems by using Social Big Data
Ubiquitous and Mobile Services by Social Big Data
Intelligent Multimedia systems by Social Big Data
Information modeling and requirements engineering
Intelligent agents and agent-based applications
Web databases and web-based multimedia systems
Various KBS applications with Social Big Data
Manuscripts should be submitted electronically online at http://ees.elsevier.com/inffus

The corresponding author will have to create a user profile if one has not been established
before at Elsevier.

Guest Editor(s)
Jason J. Jung, j2jung@gmail.com, Yeungnam University, Korea
David Camacho, david.camacho@uam.es, Universidad Autónoma de Madrid, Spain

Deadline for Submission: February 28th 2014