Semantic Technology Recommendation Based on the Analytic Network Process

Radulovic, F. and García-Castro, Raúl ORCID: https://orcid.org/0000-0002-0421-452X (2012). Semantic Technology Recommendation Based on the Analytic Network Process. In: "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.

Description

Title: Semantic Technology Recommendation Based on the Analytic Network Process
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: 24th International Conference on Software Engineering and Knowledge Engineering (SEKE 2012)
Event Dates: 1-3 julio 2012
Event Location: Redwood City, CA, USA
Title of Book: 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)
Date: July 2012
ISBN: 1-891706-31-4
ISSN: 1-891706-31-4
Subjects:
Freetext Keywords: oeg, SEALS, EspOnt
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: None

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Abstract

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.

More information

Item ID: 11869
DC Identifier: https://oa.upm.es/11869/
OAI Identifier: oai:oa.upm.es:11869
Deposited by: Dr Oscar Corcho
Deposited on: 16 Jul 2012 07:06
Last Modified: 21 Apr 2016 11:03
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