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Communications in Computer and Information Science
Rich and fine-grained semantic information describing varied aspects of scientific productions is essential to support their diffusion as well as to properly assess the quality of their output. To foster this trend, in the context of the ESWC2014 Semantic Publishing Challenge, we present a system that automatically generates rich RDF datasets from CEUR-WS workshop proceedings. Proceedings are analyzed through a sequence of processing phases. SVM classifiers complemented by heuristics are useddoi:10.1007/978-3-319-12024-9_10 fatcat:cymj5lrgszable4csh7gylnzem