Paper Info
Title
A SKOS-based framework for Subject Ontologies to improve learning experiences.
Abstract
Subject Ontologies represent conceptualizations of disciplinary domains in which concepts symbolize topics that are relevant for the considered domain and are associated each other by means of specific relations. Usually, these kind of lightweight ontologies are adopted in knowledge-based educational environments to enable semantic organization and search of resources and, in other cases, to support personalization and adaptation features for learning and teaching experiences. For this reason, applying effective management methodologies for Subject Ontologies is a crucial aspect in engineering the environments. In particular, this paper proposes an approach to use SKOS (a Semantic Web-based vocabulary providing a standard way to represent knowledge organization systems) for modelling subject ontologies. Moreover, the paper underlines the main benefits of SKOS. It focuses on alternative strategies for storing and accessing ontologies in order to support the knowledge sharing, knowledge reusing, planning, assessment, customization and adaptation processes related to learning scenarios. The results of an early experimentation allowed the authors defining a framework able to support, from both methodological and technological viewpoints, the use of Subject Ontologies in the context of a Semantic Web-based Educational System. The defined framework has high performances in terms of response and this may really improve the user experience.
Year
DOI
Venue
2016
10.1016/j.chb.2016.03.066
Computers in Human Behavior
Keywords
Field
DocType
Subject Ontologies,Learning,Semantic Web,Graph Database Model,SKOS
Ontology (information science),Knowledge sharing,Computer science,Knowledge management,Semantic Web,IDEF5,Simple Knowledge Organization System,Vocabulary,Knowledge organization,Personalization
Journal
Volume
ISSN
Citations 
61
0747-5632
10
PageRank 
References 
Authors
0.67
15
3
Name
Order
Citations
PageRank
Sergio Miranda19311.86
Francesco Orciuoli233538.75
Demetrios G. Sampson31310247.68