论文标题

OAEI 2019的SANOM结果

SANOM Results for OAEI 2019

论文作者

Mohammadi, Majid, Atashin, Amir Ahooye, Hofman, Wout, Tan, Yao-Hua

论文摘要

基于模拟退火的本体匹配(SANOM)第二次参加了2019年的本体学评估计划(OAEI)。本文包含Sanom的配置及其在解剖结构和会议轨道上的结果。与OAEI 2017相比,Sanom的改进大大改善,其结果与最先进的系统具有竞争力。特别是,就F量级而言,SANOM在会议轨道中参与的系统中的召回率最高,并且与最佳性能系统AML竞争。 Sanom在解剖轨道上也与Logmap具有竞争力,这是该轨道中表现最好的系统,没有特定的生物医学背景知识。 Sanom已改编成Hobbit Flatfrom,现在可用于注册用户。

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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