Towards a Vocabulary for Incorporating Predictive Models into the Linked Data Web.
Evangelos Kalampokis, Areti Karamanou, Efthimios Tambouris, Konstantinos A. Tarabanis · 2013
Abstract. Predictive modeling reflects the process of using data and statistical or data mining methods for predicting new observations. The predictive models that are created out of this process could be reused in different applications in the same sense that open data is reused. Towards this end, a few standards have been proposed in order to enable transfer of predictive models across platforms and applications. In this paper we suggest the need for incorporating predictive models into the Linked Data Web. Towards this end, we propose an RDF Schema vocabulary that will enable the creation of predictive models descriptions adhering to the Linked Data principles. The incorporation of these descriptions into the Linked Data Web could create new potentials beyond cross-platform model reuse. In particular, it will enable (a) easy discovery and reuse of appropriate models at a Web Scale and (b) creation of more accurate models exploiting connections of models to other models, datasets and other resources on the Web.