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Article
Publication date: 22 November 2011

Edelweis Rohrer, Regina Motz and Alicia Diaz

Web site recommendation systems help to get high quality information. The modelling of recommendation systems involves the combination of many features: metrics of quality…

635

Abstract

Purpose

Web site recommendation systems help to get high quality information. The modelling of recommendation systems involves the combination of many features: metrics of quality, quality criteria, recommendation criteria, user profile, and specific domain concepts, among others. At the moment of the specification of a recommendation system it must be guaranteed a right interrelation of all of these features. The purpose of this paper is to model a web site quality‐based recommendation system by an ontology network.

Design/methodology/approach

In this paper, the authors propose an ontology network based process for web site recommendation modelling. The ontology network conceptualizes the different domains (web site domain, quality assurance domain, user context domain, recommendation criteria domain, specific domain) in a set of interrelated ontologies. Particularly, this approach is illustrated for the health domain.

Findings

Basically, this work introduces the semantic relationships that were used to construct this ontology network. Moreover, it shows the usefulness of this ontology network for the detection of possible inconsistencies when specifying recommendation criteria.

Originality/value

Recommendation systems based on ontologies that model the user profile and the domain of resources to be recommended are quite common. However, it is uncommon to find models that explicitly represent the criteria used by the recommender systems, that express the quality dimensions of resources and on which criteria are applied, and consider the user context at the moment of the query.

Details

International Journal of Web Information Systems, vol. 7 no. 4
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 8 June 2012

Ana Marilza Pernas, Alicia Diaz, Regina Motz and José Palazzo Moreira de Oliveira

The broader adoption of the internet along with web‐based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has…

474

Abstract

Purpose

The broader adoption of the internet along with web‐based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has required systems to be even more flexible and personalized. Maybe because of that, the traditional teaching‐controlled learning style has given up space to a new way of learning, which is more flexible and adequate to the learners needs. The purpose of this research is to go further into the semantic modeling of adaptive web based learning systems. Particularly, the paper focuses on those learning systems that consider in their definition the awareness of student's context in order to properly react to the student needs.

Design/methodology/approach

In this paper the authors introduce a semantic model of the student context in terms of an ontology network. This semantic model is explored in order to detect the “current situation” of students when they are navigating into e‐learning environments. The final objective is to enrich the adaptation functionality of e‐learning environments, being able to evaluate context data from personal profile, learning domain and technological situation.

Findings

In order to evaluate the semantic model defined, examples of detected situations are shown in accordance to specific e‐learning scenarios.

Originality/value

The paper covers definition of a flexible and modularized model by using ontology networks, which can be easily modified to incorporate new knowledge data, aiding the modeling of concepts from different learning environments.

Details

Interactive Technology and Smart Education, vol. 9 no. 2
Type: Research Article
ISSN: 1741-5659

Keywords

Available. Content available
Article
Publication date: 22 November 2011

Ismail Khalil

345

Abstract

Details

International Journal of Web Information Systems, vol. 7 no. 4
Type: Research Article
ISSN: 1744-0084

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