Title
A Faster And Less Aggressive Algorithm For Correcting Conservativity Violations In Ontology Alignments
Abstract
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.
Year
DOI
Venue
2021
10.3233/AO-210243
APPLIED ONTOLOGY
Keywords
DocType
Volume
Ontology, ontology alignment, semantic interoperability
Journal
16
Issue
ISSN
Citations 
3
1570-5838
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Cauã Roca Antunes100.34
Alexandre Rademaker231.12
Mara Abel361.54