[CFP] 2nd Call for Papers: Data Journal Special Issue on "Semantics in the Deep: Semantic Analytics for Big Data"

**apologies for cross-postings**



2nd Call for papers

Data Journal Special Issue on

"Semantics in the Deep: Semantic Analytics for Big Data"



21/9/2018: Abstract submission, 2/11/2018: full submission deadline


* no article processing charges *






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.




Following the theme of SEDSEAL 2018 <https://sedseal2018.ceid.upatras.gr/> ,
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


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




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:

Guidelines for authors are available at this page:

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


Dr. Dimitrios A. Koutsomitropoulos

Department of Computer Engineering & Informatics, University of Patras,


Prof. Dr. Spiridon D. Likothanassis

Department of Computer Engineering & Informatics, University of Patras,


Prof. Dr. Panos Kalnis

Computer, Electrical and Mathematical Science and Engineering Division, King
Abdullah University of Science and Technology, Saudi Arabia



Important Dates



21/9/2018: Abstract submission

2/11/2018: Manuscript submission deadline

7/1/2019: Author Notification

11/2/2019: 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

Received on Monday, 10 September 2018 22:20:12 UTC