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EvoRDF: A Framework for Exploring Ontology Evolution

2017; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-70407-4_20

1611-3349

Haridimos Kondylakis, Melidoni Despoina, Georgios Glykokokalos, Eleftherios Kalykakis, 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, Nikos Papadakis,

Scientific Computing and Data Management

The evolution of ontologies is a reality in current research community. The problem of understanding and exploring this evolution is a fundamental problem as maintainers of depending artifacts need to take a decision about possible changes and ontology engineers need to understand the reasons for this evolution. Recent research focuses on identifying and statically visualizing deltas between ontology versions using various low- or high-level language of changes. In this paper, we argue that this is not enough and we provide a complete solution enabling the active, dynamic exploration of the evolution of RDF/S ontologies using provenance queries. To this direction, we construct an ontology of changes for modeling the language of changes and we store all changes as instances of this ontology in a triple store. On top of this triple store two visualization modules, one individual app and one protégé plugin allow the exploration of the evolution using provenance queries. To the best of our knowledge our approach is unique in allowing the dynamic exploration of the evolution using provenance queries.