Abstract
The results of OntoConnect, an Ontology alignment system, in the Ontology Alignment Evaluation Initiative (OAEI) 2020 campaign is reported in this paper. OntoConnect is a domain-independent schema alignment system that combines syntactic similarity and structural similarity between classes/concepts to align the classes/concepts from the source and target ontologies. This paper describes the participation of OntoConnect at OAEI 2020 and discusses its methodology and results on the Anatomy dataset.
Original language | English (US) |
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Pages (from-to) | 204-210 |
Number of pages | 7 |
Journal | CEUR Workshop Proceedings |
Volume | 2788 |
State | Published - 2020 |
Event | 15th International Workshop on Ontology Matching, OM 2020 - Virtual, Online Duration: Nov 2 2020 → … |
Keywords
- Ontology Matching
- Ontology alignment
- Recursive Neural Network
- Unsupervised Learning
ASJC Scopus subject areas
- General Computer Science