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Communication Dans Un Congrès Année : 2014

Interlinking English and Chinese RDF data sets using machine translation

Résumé

Data interlinking is a difficult task particularly in a multilingual environment like the Web. In this paper, we evaluate the suitability of a Machine Translation approach to interlink RDF resources described in English and Chinese languages. We represent resources as text documents, and a similarity between documents is taken for similarity between resources. Documents are represented as vectors using two weighting schemes, then cosine similarity is computed. The experiment demonstrates that TF*IDF with a minimum amount of preprocessing steps can bring high results.
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Dates et versions

hal-01180919 , version 1 (28-07-2015)

Identifiants

  • HAL Id : hal-01180919 , version 1

Citer

Tatiana Lesnikova, Jérôme David, Jérôme Euzenat. Interlinking English and Chinese RDF data sets using machine translation. 3rd ESWC workshop on Knowledge discovery and data mining meets linked open data (Know@LOD), May 2014, Hersounisos, Greece. ⟨hal-01180919⟩
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