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The SemaDrift Protégé Plugin to Measure Semantic Drift in Ontologies: Lessons Learned

  • Thanos G. Stavropoulos
  • Stelios Andreadis
  • Efstratios Kontopoulos
  • Marina Riga
  • Panagiotis Mitzias
  • Ioannis Kompatsiaris
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10180)

Abstract

Semantic drift is an active research field, which aims to identify and measure changes in ontologies across time and versions. Yet, only few practical methods have emerged that are directly applicable to Semantic Web constructs, while the lack of relevant applications and tools is even greater. This paper presents the findings, current limitations and lessons learned throughout the development and the application of a novel software tool, developed in the context of the PERICLES FP7 project, which integrates currently investigated methods, such as text and structural similarity, into the popular ontology authoring platform, Protégé. The graphical user interface provides knowledge engineers and domain experts with access to methods and results without prior programming knowledge. Its applicability and usefulness are validated through two proof-of-concept scenarios in the domains of Web Services and Digital Preservation; especially the latter is a field where such long-term insights are crucial.

Keywords

Semantic drift Concept drift Semantic change Ontologies Protégé 

Notes

Acknowledgements

This research received funding by the European Commission Seventh Framework Programme under Grant Agreement Number FP7-601138 PERICLES.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Thanos G. Stavropoulos
    • 1
  • Stelios Andreadis
    • 1
  • Efstratios Kontopoulos
    • 1
  • Marina Riga
    • 1
  • Panagiotis Mitzias
    • 1
  • Ioannis Kompatsiaris
    • 1
  1. 1.Centre for Research & Technology HellasThessalonikiGreece

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