SANOM Results for OAEI 2019
Majid Mohammadi, Amir Ahooye Atashin, Wout Hofman, Yao-Hua Tan

TL;DR
SANOM, a simulated annealing-based ontology matching system, participated in OAEI 2019, showing significant improvements and competitive results, especially in recall and F-measure, on anatomy and conference tracks.
Contribution
This paper presents the configuration and results of SANOM at OAEI 2019, demonstrating its competitive performance and adaptation to the HOBBIT platform.
Findings
SANOM achieved the highest recall in the conference track.
SANOM's F-measure is competitive with state-of-the-art systems.
SANOM is now available on the HOBBIT platform.
Abstract
Simulated annealing-based ontology matching (SANOM) participates for the second time at the ontology alignment evaluation initiative (OAEI) 2019. This paper contains the configuration of SANOM and its results on the anatomy and conference tracks. In comparison to the OAEI 2017, SANOM has improved significantly, and its results are competitive with the state-of-the-art systems. In particular, SANOM has the highest recall rate among the participated systems in the conference track, and is competitive with AML, the best performing system, in terms of F-measure. SANOM is also competitive with LogMap on the anatomy track, which is the best performing system in this track with no usage of particular biomedical background knowledge. SANOM has been adapted to the HOBBIT platfrom and is now available for the registered users.
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Semantic Web and Ontologies · Natural Language Processing Techniques
