Special Issue "Ontology-Based Data Access in Practice"

A special issue of Data (ISSN 2306-5729).

Deadline for manuscript submissions: closed (31 August 2017)

Special Issue Editors

Guest Editor
Dr. Ahmet Soylu

Department of Computer Science, Norwegian University of Science and Technology, Teknologivn. 22, 2815 Gjøvik, Norway
Website | E-Mail
Interests: semantic web; Human-Computer Interaction; ontologies; pervasive computing; model-driven development
Guest Editor
Dr. Evgeny Kharlamov

Department of Computer Science, University of Oxford, Wolfson Building Parks Road OXFORD OX1 3QD UK
Website | E-Mail
Interests: The Semantic Web; information systems; ontologies; logic; Big Data
Guest Editor
Dr. Ernesto Jimenez-Ruiz

Department of Computer Science, University of Oxford, Wolfson Building Parks Road OXFORD OX1 3QD UK
Website | E-Mail
Interests: The Semantic Web; information systems; ontologies; bio-informatics; text-mining

Special Issue Information

Dear Colleagues,

Ontology-based data access (OBDA), built on description logic (DL) ontologies, is currently having a key role in the development of next generation data access systems. OBDA employs a data virtualisation approach and enables in-place querying of already existing legacy data sources over ontologies. That is, data stays where it is and in its original structure, and an ontology comes in as an additional layer with appropriate mechanisms to virtualise underlying data into RDF. An OBDA system rewrites posed queries into the vocabulary of the underlying data sources and lets the legacy query answering systems, such as a relational database to evaluate the queries. Ontologies are promising to improve query answering process, i.e., federation and reasoning, but they also play an important role for end-user query formulation process by offering high-level institutive vocabularies.

We are looking to put together a comprehensive set of papers covering recent advances of the OBDA approach. We are particularly interested to attract papers reporting applications, such as search and querying but not limited to, use-cases, implemented systems, data sets, methods, benchmarks, best practices that demonstrate and guide the applicability of the OBDA in real world. Although traditional OBDA systems assume underlying data sources as relational databases, we are also interested in non-relational scenarios, such as XML and RDF.

Assoc. Prof. Ahmet Soylu
Dr. Evgeny Kharlamov
Dr. Ernesto Jimenez-Ruiz
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. 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. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • ontology-based data access
  • search
  • querying
  • OWL
  • RDF

Published Papers

There is no accepted submissions to this special issue at this moment.
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