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      "@value" : "The state of the art is focused on (open) information extraction and semantification. Nevertheless, it misses the comparison with a large slice of relevant works in the areas of machine reading, n-ary relations extraction, existing frame related KBs and theories in the Semantic Web. These works include FRED [1] (see also the paper submitted to the SWJ [2]), FrameBase (see also the paper submitted to the SWJ [4]), [5], [6] and [7]. [1] \"Knowledge Extraction Based on Discourse Representation Theory and Linguistic Frames\". Valentina Presutti, Francesco Draicchio, Aldo Gangemi. EKAW 2012: 114-129 [2] http://semantic-web-journal.org/system/files/swj1297.pdf [3] \"FrameBase: Representing N-Ary Relations Using Semantic Frames\". Jacobo Rouces, Gerard de Melo, Katja Hose. ESWC 2015: 505-521 [4] http://semantic-web-journal.org/system/files/swj1239.pdf [5] \"Gathering lexical linked data and knowledge patterns from FrameNet\". Andrea Giovanni Nuzzolese, Aldo Gangemi, Valentina Presutti. K-Cap 2011: 41-48 [6] \"Frame Detection over the Semantic Web\". Bonaventura Coppola, Aldo Gangemi, Alfio Gliozzo, Davide Picca, Valentina Presutti. ESWC 2009: 126-142 [7] \"Towards a Pattern Science for the Semantic Web\". Aldo Gangemi and Valentina Presutti. Semantic Web Journal 1.1, 2 (2010): 61-68."
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