Special Issue "Analysis of Uncertainty in Ontologies and Semantic Web"

A special issue of Sci (ISSN 2413-4155).

Deadline for manuscript submissions: closed (1 October 2020).

Special Issue Editor

Prof. Dr. Fernando Bobillo
E-Mail Website
Guest Editor
Department of Computer Science and Systems Engineering (University of Zaragoza) Ada Byron Building (School of Engineering and Architecture), María de Luna 1, 50018, Zaragoza, Spain
Interests: semantic web; fuzzy logic; knowledge representation; reasoning; mobile computing

Special Issue Information

Dear Colleagues,

Uncertainty is an intrinsic feature of many application domains, and many important real-world tasks require it to be managed. The term uncertainty should be understood here in a broad sense, including many different types of imperfect knowledge, including imprecision, inconsistency, randomness, incompleteness, incompleteness, ignorance, and ambiguity, among others. To manage different types of uncertainty, many different approaches have been proposed, such as probability theory, fuzzy logic, and possibility theory, among many others.

Existing languages, logical formalisms, and tools to manage ontologies and Semantic Web technologies have proved to be useful in many applications, but many aspects of the Semantic Web vision require managing uncertainty in some way, e.g., representing imprecise knowledge, answering inconsistent knowledge bases, ranking the quality of answers of a query, assigning degrees of trust to knowledge, etc. Although there has been a lot of work in the field, there are still many unsolved problems that must be addressed before uncertain extensions reach a satisfactory maturity level.

This Special Issue aims to collect state-of-the-art breakthroughs including but not limited to the following topics:

  • Extensions of ontology languages to represent uncertainty;
  • Extensions of logical formalisms (e.g., Description logics) to manage uncertainty;
  • Extensions of reasoning algorithms to adapt reasoning services to uncertainty;
  • Implementations of tools supporting uncertainty;
  • Hybrid approaches integrating different techniques to manage uncertainty;
  • Applications of uncertainty to Semantic Web scenarios (e.g., ontology matching);
  • Applications of uncertainty to Linked Data and knowledge graphs;
  • Development of benchmarks and open datasets.

Prof. Fernando Bobillo
Guest Editor

Manuscript Submission Information

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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. Sci 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) for publication in this open access journal is 1200 CHF (Swiss Francs). 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.


  • Fuzzy ontologies
  • Probabilistic and Bayesian ontologies
  • Possibilistic ontologies
  • Rough ontologies
  • Dempster–Shafer ontologies.

Published Papers

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