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Poster De Conférence Année : 2017

Alignment Cubes: Interactive Visual Exploration and Evaluation of Multiple Ontology Alignments

Résumé

The quality of ontology alignments is evaluated by comparing to reference alignments and calculating general measures, i.e., precision, recall and F-measure. These measures, however, only provide an overall assessment of the alignments' quality, but do not reveal differences and commonalities between alignments at a finer-grained level such as, e.g., regions or individual mappings. This demands comparative exploration of alignments at different levels of granularity. Furthermore, reference alignments to compare to are often unavailable, which makes such comparative evaluation even more important. To address this issue, we introduce Alignment Cubes which supports efficient interactive visual exploration of multiple alignments at different granularity levels.
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Dates et versions

hal-01827794 , version 1 (14-07-2018)

Identifiants

  • HAL Id : hal-01827794 , version 1

Citer

Valentina Ivanova, Benjamin Bach, Emmanuel Pietriga, Patrick Lambrix. Alignment Cubes: Interactive Visual Exploration and Evaluation of Multiple Ontology Alignments. Proceedings of the ISWC 2017 Posters & Demonstrations Track: Collected Abstracts, Oct 2017, Vienna, Austria. . ⟨hal-01827794⟩
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