Semantic Technology Recommendation Based on the Analytic Network Process

Radulovic, F. y García-Castro, Raúl (2012). Semantic Technology Recommendation Based on the Analytic Network Process. En: "24th International Conference on Software Engineering and Knowledge Engineering (SEKE 2012)", 1-3 julio 2012, Redwood City, CA, USA. ISBN 1-891706-31-4. p. 611.

Descripción

Título: Semantic Technology Recommendation Based on the Analytic Network Process
Autor/es:
  • Radulovic, F.
  • García-Castro, Raúl
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 24th International Conference on Software Engineering and Knowledge Engineering (SEKE 2012)
Fechas del Evento: 1-3 julio 2012
Lugar del Evento: Redwood City, CA, USA
Título del Libro: Proceedings of the 24th International Conference on Software Engineering and Knowledge Engineering (SEKE 2012)
Título de Revista/Publicación: Proceedings of the 24th International Conference on Software Engineering and Knowledge Engineering (SEKE 2012)
Fecha: Julio 2012
ISBN: 1-891706-31-4
Materias:
Palabras Clave Informales: oeg, SEALS, EspOnt
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Ninguna

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Resumen

Semantic technologies have become widely adopted in recent years, and choosing the right technologies for the problems that users face is often a difficult task. This paper presents an application of the Analytic Network Process for the recommendation of semantic technologies, which is based on a quality model for semantic technologies. Instead of relying on expert-based comparisons of alternatives, the comparisons in our framework depend on real evaluation results. Furthermore, the recommendations in our framework derive from user quality requirements, which leads to better recommendations tailored to users’ needs. This paper also presents an algorithm for pairwise comparisons, which is based on user quality requirements and evaluation results.

Más información

ID de Registro: 11869
Identificador DC: http://oa.upm.es/11869/
Identificador OAI: oai:oa.upm.es:11869
Depositado por: Dr Oscar Corcho
Depositado el: 16 Jul 2012 07:06
Ultima Modificación: 21 Abr 2016 11:03
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