Information quantity has rapidly increased on the web recently. Data size has also increased dramatically as multimedia data, which include visual information and auditory information, and has been used more and more in addition to the existing form of text data. It needs the semantic representation in human language to reduce the semantic gap between low-level and high-level characteristics; considering not only the low-level characteristics but also the high-level ones with the use of heterogeneous knowledge such as large scale text, image, video and so forth.
In this context, it is worth noting research that combines heterogeneous knowledge aspects with achievements in designing advanced systems for the acquisition and sophisticated semantic analysis of complex data patterns, group behaviors, and visual information and repositories. Also, advanced radio access technologies are required to support above applications under wireless environments for forthcoming 5G system. Finally, security and privacy concerns when mining and classifying the knowledge collected by personal sensing devices or accessed by external services such as health information systems, city management platforms or Internet of Things is of pivotal importance so as to avoid exposing personal and critical data towards malicious persons or organizations. Therefore, it is demanding to propose proper means to avoid information leakage or falsification without compromising the possibility of performing complex information extraction, inference or classification.
This special issue aims at bringing together leading researchers and practitioners from academia, government, and industry to discuss novel research contributions related to Semantic Approaches for Knowledge Classification within the context of various platforms.
Topics of Interest
Preferred topics in this issue include (but are not limited to):
• Advanced Pattern Classification
• Big Data in Internet of Things
• Dependability of Knowledge Classification Solutions
• Embedded platforms, Smart objects and pervasive sensors
• Intelligent Recommendation System
• Intelligent Social Network Data Analysis
• Natural Language Processing
• New Types of Advanced Multiple Access Method in 5G Network
• Objects Tracking based on Wireless Sensor Networks
• Privacy when Classifying Knowledge
• Protection of Knowledge Base Systems
• Security Application for Wireless Sensor Networks
• Semantic Analytics and Mining
• Spectrum Efficient Methods for Multimedia Applications
• Smart Surveillance System
• Testing and Validating Knowledge Classification Platforms.
• Visual data processing and understanding
• Visualization for Context-aware Services
• Submission Due: 30 September, 2017
• Pre-screening notification: 15 October, 2017
• 1st Round Notification: 31 December, 2017
• Revision: 31 January, 2018
• Final version Submission: 28 February, 2018
Papers submitted to this special issue must be original and must not be under consideration for publication in any other journal, conference, or workshop.
To solicit papers, we will advertise the call on mailing lists and send to particular colleagues working in the areas related to this special issue to invite good quality submissions.
Concerning the preparation of the manuscript, please refer to the \”Instructions for Authors\” page at the journal website, http://www.journals.elsevier.com/future-generation-computer-systems. Further, the manuscript must be submitted in online submission system. The submission must include the title, abstract of your paper, and the corresponding author\’s name and affiliation. All papers will be rigorously reviewed based on the quality: originality, high scientific quality, well organized and clearly written, sufficient support for assertions and conclusion.
Authors should prepare their papers according to Guide for Authors of FGCS. Papers will be submitted via the EES website (http://ees.elsevier.com/fgcs/). To ensure that the manuscript is correctly identified for inclusion into the special issue, authors must select \”SI: Internet of Knowledge\” when they reach the “Article Type” step in the submission process.
Proposed Guest Editors
• Dr. Chang Choi ([email protected]), Chosun University, Korea (Leading Guest Editor)
• Dr. Francesco Piccialli ([email protected]), University of Naples “Federico II”, Italy
• Prof. Jason J. Jung ([email protected]), Chung-Ang University, Korea