Detecting Good Practices and Pitfalls when PublishingVocabularies on the Web
María Poveda‐Villalón, Bernard Vatant, Mari Carmen Suárez-Figueroa, Asuncíon Gómez-Pérez · Hispana · 2013
Abstract. The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies bringing their semantic to the data being published. These ontologies should be evaluated at different stages, both during their development and their publication. As important as correctly modelling the intended part of the world to be captured in an ontology, is publishing, shar-ing and facilitating the (re)use of the obtained model. In this paper, 11 evalua-tion characteristics, with respect to publish, share and facilitate the reuse, are proposed. In particular, 6 good practices and 5 pitfalls are presented, together with their associated detection methods. In addition, a grid-based rating system is generated showing the results of analysing the vocabularies gathered in LOV repository. Both contributions, the set of evaluation characteristics and the grid system, could be useful for ontologists in order to reuse existing LD vocabular-ies or to check the one being built.