IOTA: Interlinking of Heterogeneous Multilingual Open Fiscal DaTA
Expert Systems with Applications(2020)
摘要
•IOTA is designed as a scalable framework to interlink translated fiscal concepts.•There are 19 similarity measures experimented within IOTA.•Token Sort yields the highest F1 score yet not robust to threshold change.•TF-IDF has a good and robust F1 score, but it is computationally expensive.•Results keep highly & positively correlated even as translation pairs are changed.
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关键词
Data interlinking,Budget and spending data,String similarity measure,Open data,Translated string matching framework,Cluster computing
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