Towards a distributional semantic web stack
André Freitas, Edward Curry, Siegfried Handschuh · 2014
Abstract. 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, catego-rizing and generalizing existing approaches into a Distributional Seman-tic Web stack. 1