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Data SI Semantic Analytics for Big Data 2018 : Data Journal Special Issue on Semantics in the Deep: Semantic Analytics for Big Data

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Link: http://www.mdpi.com/journal/data/special_issues/Semantic_Analytics
 
When N/A
Where N/A
Submission Deadline Nov 23, 2018
Notification Due Jan 28, 2019
Final Version Due Feb 28, 2019
Categories    big data   semantic web   analytics   deep learning
 

Call For Papers

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Call for papers
Data Journal Special Issue on
"Semantics in the Deep: Semantic Analytics for Big Data"
http://www.mdpi.com/journal/data/special_issues/Semantic_Analytics

**NEW EXTENDED DEADLINE: November 23th , 2018**

* no article processing charges *

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Description
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The wide availability of information on the Internet, storage space, and web-generated content put still more impetus on devising applications that would take advantage of such unprecedented resources, but would also stand up to the challenges posed by processing and value extraction out of big data. Now that big data have become everyday data, two fundamental questions naturally arise:
- How can semantic technologies contribute towards big data analysis?
- What is the relationship between Semantic Web logical formalisms and automated- and deep-learning techniques?
The aim of this Special Issue is to put emphasis on big data analysis and, more specifically, on how semantics-aware applications can contribute in this field. The interplay between the logical formalisms of the Semantic Web and automated learning and deep learning techniques is currently an open research topic for both technologies to achieve their next step and forms the state-of-the-art in this area. In this sense, there are numerous open problems, ranging from efficient ontological processing of big data ontologies to knowledge graphs maintenance to ontology evolvement with machine learning techniques.

Topics
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Following the theme of SEDSEAL 2018, this special issue solicits contributions to the open problems above, such as innovative techniques, tools, case studies, comparisons, and theoretical advances. The papers should consider and present contributions towards how Semantic Web technologies can help to implement and enhance big data analytics. This can be achieved either by extracting value out of these data (e.g., through reasoning), creating sustainable ontology models, offering a solid foundation for deploying learning techniques or anything in between. In particular, topics of interest include, but are not limited to, the following:

Ontologies for big data
Semantic applications in big data domains including:
open datasets, linked data, scholarly information, e-learning
economics, insurance, sensors, bioinformatics
Reasoning approaches for knowledge extraction
Ontology learning and topic modeling
NLP and word embedding
Semantic deep learning
Semantic lakes and blockchain
OBDA approaches for big data access
Data Science and semantics
Evaluation techniques
Semantic deep learning
Ontologies as training sets
Ontology evolution and learning feedback
Scalability issues

Submission
==========
Manuscripts should be submitted online at www.mdpi.com. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process.
Authors are encouraged to send a short abstract and tentative title to guest editor Dr. Dimitrios Koutsomitropoulos at the email address found here: http://www.mdpi.com/journal/data/special_issues/Semantic_Analytics
Guidelines for authors are available at this page: http://www.mdpi.com/journal/data/instructions
The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English.

Guest Editors
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Dr. Dimitrios A. Koutsomitropoulos
Department of Computer Engineering & Informatics, University of Patras, Greece

Prof. Dr. Spiridon D. Likothanassis
Department of Computer Engineering & Informatics, University of Patras, Greece

Prof. Dr. Panos Kalnis
Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology, Saudi Arabia


Important Dates
===============

23/11/2018: Manuscript submission deadline
28/1/2019: Author Notification
28/2/2019: Final Revisions
Spring 2019: Special Issue Publication


Editorial Review Board (TBC)
======================
Andreas Andreou, Cyprus University of Technology, Cyprus
Christos Alexakos, University of Patras, Greece
Dimitrios Tsolis, University of Patras, Greece
Dimitrios Tzovaras, CERTH/ITI, Greece
Efstratios Georgopoulos, Technological Institute of Kalamata, Greece
Filipe Portela, University of Minho, Portugal
Jouni Tuominen, University of Helsinki, Finland
Konstantinos Votis, CERTH/ITI, Greece
Miguel-Angel Sicilia, University of Alcala, Spain
Minjuan Wang, San Diego State University, US
Vassilis Plagianakos, University of Thessaly, Greece

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