A faster and less aggressive algorithm for correcting conservativity violations in ontology alignments
| Autor: | Cauã Roca Antunes, Alexandre Rademaker, Mara Abel |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Linguistics and Language
Theoretical computer science General Computer Science Computer science 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology Ontology (information science) Language and Linguistics |
| Zdroj: | Applied Ontology. 16:277-296 |
| ISSN: | 1875-8533 1570-5838 |
| Popis: | Ontologies are computational artifacts that model consensual aspects of reality. In distributed contexts, applications often need to utilize information from several distinct ontologies. In order to integrate multiple ontologies, entities modeled in each ontology must be matched through an ontology alignment. However, imperfect alignments may introduce inconsistencies. One kind of inconsistency, which is often introduced, is the violation of the conservativity principle, that states that the alignment should not introduce new subsumption relations between entities from the same source ontology. We propose a two-step quadratic-time algorithm for automatically correcting such violations, and evaluate it against datasets from the Ontology Alignment Evaluation Initiative 2019, comparing the results to a state-of-the-art approach. The proposed algorithm was significantly faster and less aggressive; that is, it performed fewer modifications over the original alignment when compared to the state-of-the-art algorithm. |
| Databáze: | OpenAIRE |
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