2020
DOI: 10.1016/j.eswa.2019.113135
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IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA

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Cited by 5 publications
(2 citation statements)
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“…Four language versions of WordNet (Arabic, Italian, Slovene, and Spanish) are mapped to the English WordNet. Musyaffa et al [25] proposed a framework for interlinking heterogeneous multilingual open fiscal data. Machine translation and similarity measures are used to map concepts across different languages.…”
Section: A Cross-lingual Matching Approachesmentioning
confidence: 99%
“…Four language versions of WordNet (Arabic, Italian, Slovene, and Spanish) are mapped to the English WordNet. Musyaffa et al [25] proposed a framework for interlinking heterogeneous multilingual open fiscal data. Machine translation and similarity measures are used to map concepts across different languages.…”
Section: A Cross-lingual Matching Approachesmentioning
confidence: 99%
“…However, certain crucial disadvantages will endure for years. First, it requires a sufficient amount of domain knowledge in the schemas of all relevant datasets, as well as a number of acceptable ontology vocabularies for semantic enrichment [58,59]. Second, it will significantly increase the complexity of the data as the ontologies created by various parties are challenged to be united in compliance with some common protocol.…”
Section: Interlinking Diverse Datamentioning
confidence: 99%