Call for papers : DATA JOURNAL Special Issue on "Semantics in the Deep: Semantic Analytics for Big Data"

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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:

1.) How can semantic technologies contribute towards big data analysis?

2.) 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, 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 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

Ontology-based Data Access (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

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, 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)

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

Important Dates:

  • 28/1/2019: Author Notification

    28/2/2019: Final Revisions

    Spring-Summer 2019: Special Issue Publication

P.S. " it is very important to have real use cases, real brands, real issues you can relate to to get deeper into the topic" (SEMANTICS2018FLORIAN KONDERT, digital director at Zukunftsinstitut)

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And, thanks again for your interest ! 

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