Semantify CEUR-WS Proceedings: Towards the Automatic Generation of Highly Descriptive Scholarly Publishing Linked Datasets
作者： Francesco Ronzano , Gerard Casamayor del Bosque , Horacio Saggion
DOI: 10.1007/978-3-319-12024-9_10
关键词: Semantic Web 、 Context (language use) 、 Semantic publishing 、 Information extraction 、 Web service 、 Information retrieval 、 Heuristics 、 Set (abstract data type) 、 Computer science 、 RDF
摘要: Rich and fine-grained semantic information describing varied aspects of scientific productions is essential to support their diffusion as well properly assess the quality output. To foster this trend, in context ESWC2014 Semantic Publishing Challenge, we present a system that automatically generates rich RDF datasets from CEUR-WS workshop proceedings. Proceedings are analyzed through sequence processing phases. SVM classifiers complemented by heuristics used annotate missing markups. Annotations then linked external like DBpedia Bibsonomy. Finally, data modeled published an graph. Our provided on-line Web service on-the-fly generation. In paper describe its evaluation following procedure set organizers challenge.
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