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Ontology Visualization: An Overview

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Book cover Intelligent Systems Design and Applications (ISDA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 736))

Abstract

As the main way for knowledge representation for the purpose of completely machine understanding, ontologies are widely used in different application domains. This full machine understanding makes them harder to be easily understood by a human. This necessitates the need to develop ontology visualization tools, which results in the existence of a large number of approaches and visualization tools. Along with this development direction, the number of published research papers related to ontology visualization is largely increasing. To this end, in this paper, we introduce a systemic review on different directions related to ontology visualization. In particular, we start by describing different application domains that make use of ontology visualization. Then, we propose a generic visualization pipeline that incorporates main steps in ontology visualization that could be later used as main criteria during comparing and discussing different visualization tools. By this review, we aim to introduce a general visualization pipeline that is useful when comparing ontology visualization tools and when developing a new visualization technique. Finally, the paper moves into the description of future trends and research issues that still need to be addressed.

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Notes

  1. 1.

    http://bioportal.bioontology.org/ontologies/GO.

  2. 2.

    https://jena.apache.org/.

  3. 3.

    http://owlapi.sourceforge.net/.

  4. 4.

    http://owlgred.lumii.lv/.

  5. 5.

    https://developer.mozilla.org/en-US/docs/Web/API/Canvas_API.

  6. 6.

    http://vowl.visualdataweb.org/webvowl.html.

  7. 7.

    http://prefuse.org/.

  8. 8.

    http://ontosphere3d.sourceforge.net/userGuide.html.

  9. 9.

    https://dbs.uni-leipzig.de/de/research/projects/evolution_of_ontologies_and_mappings.

  10. 10.

    https://angularjs.org/.

  11. 11.

    https://jquery.com/.

  12. 12.

    https://jsplumbtoolkit.com/.

  13. 13.

    https://www.jstree.com/.

  14. 14.

    https://github.com/AgreementMakerLight/AML-Jar.

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Acknowledgments

This work was supported by the DAAD funding through the BioDialog project.

Author information

Authors and Affiliations

  1. Higher Institute of computer science and Multimedia, University of Sfax, Sfax, Tunisia

    Nassira Achich, Bassem Bouaziz & Faiez Gargouri

  2. Friedrich-Schiller-Universität Jena, Jena, Germany

    Alsayed Algergawy

Authors
  1. Nassira Achich
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  2. Bassem Bouaziz
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  3. Alsayed Algergawy
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  4. Faiez Gargouri
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Corresponding author

Correspondence to Nassira Achich .

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Editors and Affiliations

  1. Machine Intelligence Research Labs , Auburn, Washington, USA

    Ajith Abraham

  2. Department of Computer Science, South Asian University, Chanakyapuri, Delhi, India

    Pranab Kr. Muhuri

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka , Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs , Auburn, Washington, USA

    Niketa Gandhi

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Achich, N., Bouaziz, B., Algergawy, A., Gargouri, F. (2018). Ontology Visualization: An Overview. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_84

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  • DOI: https://doi.org/10.1007/978-3-319-76348-4_84

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