National Science Library,Chinese Academy of Sciences
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A Journal for Human and Machine
This journal has at least two major purposes that we hope embrace. First, it will embrace the traditional role of a journal in helping to facilitate
the communication of research and best practices in scientific data sharing, especially across disciplines, an area that is continually growing in importance for the modern practice of science. Second, we will be
experimenting with new methods of enhancing the sharing of this communication, and examples of the field, by utilizing the increasing power of intelligent computing systems to further facilitate the growth of
the field. The journal’s title, combining“data,”the field we will support, and“intelligence,”a means to that end, is meant to connote this growing interaction.
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XLORE2: Large-Scale Cross-Lingual Knowledge Graph Construction and Application
Knowledge bases (KBs) are often greatly incomplete, necessitating a demand for KB completion. Although XLORE is an English-Chinese bilingual knowledge graph, there are only 423,974 cross-lingual links between English instances and Chinese instances. We present XLORE2, an extension of the XLORE that is built automatically from Wikipedia, Baidu Baike and Hudong Baike. We add more facts by making cross-lingual knowledge linking, cross-lingual property matching and fine-grained type inference. We also design an entity linking system to demonstrate the effectiveness and broad coverage of XLORE2.
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