Towards a Distributional Semantic Web Stack

نویسندگان

  • André Freitas
  • Edward Curry
  • Siegfried Handschuh
چکیده

The capacity of distributional semantic models (DSMs) to discover similarities over large scale heterogeneous and poorly structured data brings them as a promising universal and low-effort framework to support semantic approximation and knowledge discovery. This position paper explores the role of distributional semantics in the Semantic Web vision, based on state-of-the-art distributional-relational models, categorizing and generalizing existing approaches into a Distributional Semantic Web stack.

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تاریخ انتشار 2014