Interlinking English and Chinese RDF Data Sets Using Machine Translation
Tatiana Lesnikova, David Jerome, Jérôme Euzenat · 2014
Abstract. Data interlinking is a difficult task particularly in a multi-lingual environment like the Web. In this paper, we evaluate the suit-ability 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 similar-ity 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.