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2018 Volume 33
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RESEARCH ARTICLE   Open Access    

EvoRDF: evolving the exploration of ontology evolution

  • 1.

    N. Plastira 100

  • 2.

    Department of Informatics Engineering

More Information
  • Abstract: Ontologies are constantly evolving as new requirements daily occur and the modeling choices of the past should be updated or adapted. Exploring this evolution will enhance the understanding, augmenting the exploitation potential of the available ontologies. However, recent research focuses mostly on detecting changes between ontology versions, overloading end-users with hundreds or even thousands of changes between ontology versions, making it impossible to explore this evolution. To this direction, in this paper, we present EvoRDF, a novel framework for exploring ontology evolution using provenance queries. Our approach uses a high-level language of changes and effectively answers queries about when a specific resource was introduced and how—by which change operations. Even more, why queries can identify the sequence of changes that led to the creation of a specific resource in the latest ontology version or track the evolution of a specific resource from a past ontology version. The evaluation performed shows the feasibility of our solution and the great advantages gained.
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  • Cite this article

    Haridimos Kondylakis, Nikos Papadakis. 2018. EvoRDF: evolving the exploration of ontology evolution. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000140
    Haridimos Kondylakis, Nikos Papadakis. 2018. EvoRDF: evolving the exploration of ontology evolution. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000140
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RESEARCH ARTICLE   Open Access    

EvoRDF: evolving the exploration of ontology evolution

  • 1.

    N. Plastira 100

  • 2.

    Department of Informatics Engineering

  • Published online: 15 August 2018
The Knowledge Engineering Review  33,  2018, 33(1)  |  Cite this article

Abstract: Abstract: Ontologies are constantly evolving as new requirements daily occur and the modeling choices of the past should be updated or adapted. Exploring this evolution will enhance the understanding, augmenting the exploitation potential of the available ontologies. However, recent research focuses mostly on detecting changes between ontology versions, overloading end-users with hundreds or even thousands of changes between ontology versions, making it impossible to explore this evolution. To this direction, in this paper, we present EvoRDF, a novel framework for exploring ontology evolution using provenance queries. Our approach uses a high-level language of changes and effectively answers queries about when a specific resource was introduced and how—by which change operations. Even more, why queries can identify the sequence of changes that led to the creation of a specific resource in the latest ontology version or track the evolution of a specific resource from a past ontology version. The evaluation performed shows the feasibility of our solution and the great advantages gained.

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    Acknowledgments

    • The authors would like to thank Melidoni Despoina, Georgios Glykokokalos, Manos Karapiperakis, Michail-Angelos Lasithiotakis, John Makridis, Panagiotis Moraitis, Aspasia Panteri, Maria Plevraki, Antonios Providakis, Maria Skalidaki, Athanasiadis Stefanos, Manolis Tampouratzis, Eleftherios Trivizakis, Fanis Zervakis, Ekaterini Zervouraki for implementing the framework described in this paper. This work has been supported by the EU project iManageCancer (H2020-643529) and has been partially funded by the European Commission.

    • http://139.91.183.29:8080/exelixis/

    • http://users.ics.forth.gr/~kondylak/Ontologies&ChangeFIles.rar

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    Haridimos Kondylakis, Nikos Papadakis. 2018. EvoRDF: evolving the exploration of ontology evolution. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000140
    Haridimos Kondylakis, Nikos Papadakis. 2018. EvoRDF: evolving the exploration of ontology evolution. The Knowledge Engineering Review 33(1), doi: 10.1017/S0269888918000140
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