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Semantic Technology Recommendation Based on the Analytic Network Process

Radulovic, F. and García-Castro, Raúl (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 .

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Item Type:Presentation at Congress or Day (Article)
Authors/Creators:
Creators NameCreators email (if known)
Radulovic, F.
García-Castro, Raúl
Title:Semantic Technology Recommendation Based on the Analytic Network Process
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)
Publisher:Knowledge Systems Institute
Journal/Publication Title:Proceedings of the 24th International Conference on Software Engineering and Knowledge Engineering (SEKE 2012)
Date:July 2012
ISBN:1-891706-31-4
Department:Artificial intelligence
Faculty:Computer Faculty (UPM)
Creative Commons licenses:None
Item ID:11869
Subjects:Computer Science

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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.

Item Type:Presentation at Congress or Day (Article)
Uncontrolled Keywords:oeg, SEALS, EspOnt
Subjects:Computer Science
Código ID:11869
Depositado Por:Dr Oscar Corcho
Depositado el:16 Jul 2012 09:06
Last Modified:07 Feb 2013 20:35

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