RESyS: Towards a Rule-Based Recommender System based on Semantic Reasoning

Authors

  • Daniel Villanueva INFOTEC Center of Research and Innovation in Information Technology Communications
  • Miguel Lagares
  • Juan M. Gómez
  • Israel González

DOI:

https://doi.org/10.13053/cys-22-3-2895

Keywords:

Recommender system, knowledge Ontology, semantic reasoning, voice calls

Abstract

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.

Author Biography

Daniel Villanueva, INFOTEC Center of Research and Innovation in Information Technology Communications

Es catedrático de Conacyt e investigador de tiempo completo en INFOTEC Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación en la sede Aguascalientes. Obtuvo su doctorado en Ciencia y Tecnología Informática por la Universidad Carlos III de Madrid (España). Estudió la Maestría en Electrónica con especialidad en Sistemas Digitales por el Tecnológico Nacional de México en Orizaba, Veracruz. Ha participado en proyectos de investigación nacionales e internacionales y es autor y revisor de diferentes artículos en revistas internacionales. Actualmente, pertenece al Sistema Nacional de Investigadores, nivel candidato. Es integrante del grupo de investigación en el Laboratorio Nacional de Internet del Futuro (LaNIF). El LaNIF hospeda al nodo FIWARE Lab de México, la primera instancia de la plataforma FIWARE en América Latina que forma parte de los nodos federados distribuidos alrededor del mundo. También. Colabora en el laboratorio de Sistemas Embebidos (LabSE) en INFOTEC.Forma parte del Registro CONACYT de Evaluadores Acreditados (RCEA), base de datos única en la cual se integra información sobre expertos en las diferentes disciplinas del conocimiento científico, tecnológico e innovación. Es parte del grupo evaluador del Premio Nacional de Tecnología e Innovación en México. Sus líneas de investigación son gestión de tecnología e innovación en sectores públicos y privados; sistemas inteligentes; sistemas embebidos, Internet de las Cosas (IoT), web semántica y electrónica.

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Published

2018-09-26

Issue

Vol. 22 No. 3 (2018): Thematic issue on Natural Language Processing (Guest Editor: A. Gelbukh)

Section

Articles of the Thematic Issue

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