OntoConnect: Results for OAEI 2020

Jaydeep Chakraborty, Beyza Yaman, Luca Virgili, Krishanu Konar, Srividya K. Bansal

Research output: Contribution to journalConference articlepeer-review

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 languageEnglish (US)
Pages (from-to)204-210
Number of pages7
JournalCEUR Workshop Proceedings
Volume2788
StatePublished - 2020
Event15th 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

  • Computer Science(all)

Fingerprint

Dive into the research topics of 'OntoConnect: Results for OAEI 2020'. Together they form a unique fingerprint.

Cite this