Resumen

VILLANUEVA, Daniel; LAGARES, Miguel; GOMEZ, Juan M.  y  GONZALEZ, Israel. RESyS: Towards a Rule-based Recommender System based on Semantic Reasoning. Comp. y Sist. [online]. 2018, vol.22, n.3, pp.809-817. ISSN 2007-9737.  https://doi.org/10.13053/cys-22-3-2895.

The ability to be available and stay connected always for work or social issues has become a reality and a necessity for today’s Information Society. Harnessing the potential of Semantic Technologies-based reasoning for intelligent redirection of voice calls and recommender systems has been gauged as a promising field to enhance the current voice phone calling experience. Such experience might be fostered by a disruption based on rule-based recommendation and inference leveraging current state of the art technology in smartphone apps or fixed line telecommunications standards to its full potential. In this paper, we present RESyS, a software platform hinging on Semantic Technologies and rule-based recommendations which has been tested both on a research and an industry proof-of-concept business pilot, validating its major goals.

Palabras llave : Recommender system; knowledge ontology; semantic reasoning; voice calls.

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