Abstract
The SemanticWeb Dog Food (SWDF) is the reference linked dataset of the Semantic Web community about papers, people, organisations, and events related to its academic conferences. In this paper we analyse the existing problems of generating, representing and maintaining Linked Data for the SWDF. With this work (i) we provide a refactored and cleaned SWDF dataset; (ii) we use a novel data model which improves the Semantic Web Conference Ontology, adopting best ontology design practices and (iii) we provide an open source workflow to support a healthy growth of the dataset beyond the Semantic Web conferences.
Cite
CITATION STYLE
Nuzzolese, A. G., Gentile, A. L., Presutti, V., & Gangemi, A. (2016). Conference linked data: The scholarlydata project. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9982 LNCS, pp. 150–158). Springer Verlag. https://doi.org/10.1007/978-3-319-46547-0_16
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