Learning objects on the semantic Web

Mohan, Permanand; Brooks, Christopher

doi:10.1109/icalt.2003.1215055

Cited by 57 publications

(49 citation statements)

References 6 publications

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“…Essas tecnologias também vem sendo consideradas para tratar questões relacionadas a gestão de conteúdos educacionais, em particular aqueles representados por Objetos de Aprendizagem (OA), desde o início dos anos 2000 [Stojanovic,2007;Mohan, 2003]. Resultados efetivos começaram a aparecer com os projetos ROSA [Porto, 2007], SLOR [Carrion, 2007], SLCMS [Balog-Crisan, 2008] e a arquitetura baseada em serviços web proposta em [Cobo, 2007].…”

Section: Estado Da Arteunclassified

Avaliação de Tecnologias de Bancos de Dados Semânticos para a Construção de um Sistema Inteligente de Gestão de Conteúdos de Aprendizagem: Experimentos e Resultados

Gluz¹,

Machado²,

Galão³

2017

Anais Do XXVIII Simpósio Brasileiro De Informática Na Educação (SBIE 2017)

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Section: Estado Da Arteunclassified

Avaliação de Tecnologias de Bancos de Dados Semânticos para a Construção de um Sistema Inteligente de Gestão de Conteúdos de Aprendizagem: Experimentos e Resultados

Gluz¹,

Machado²,

Galão³

2017

Anais Do XXVIII Simpósio Brasileiro De Informática Na Educação (SBIE 2017)

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“…With this kind of knowledge Web agents can search and retrieve learning objects more intelligently (Mohan and Brooks, 2003). Further discussion about Semantic…”

Section: Learning Objects and The Semantic Webmentioning

confidence: 99%

Automatic document-level semantic metadata annotation using folksonomies and domain ontologies

Al‐Khalifa

Rubart

2008

SIGWEB Newsl.

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The last few years have witnessed a fast growth of the concept of Social Software. Be it video sharing such as YouTube, photo sharing such as Flickr, community building such as MySpace, or social bookmarking such as del.icio.us. These websites contain valuable user-generated metadata called folksonomies. Folksonomies are ad hoc, light-weight knowledge representation artefacts to describe web resources using people's own vocabulary. The cheap metadata contained in such websites presents potential opportunities for us (researchers) to benefit from. This thesis presents a novel tool that uses folksonomies to automatically generate metadata with educational semantics in an attempt to provide semantic annotations to bookmarked web resources, and to help in making the vision of the Semantic Web a reality. The tool comprises two components: the tags normalisation process and the semantic annotation process. The tool uses the del.icio.us social bookmarking service as a source for folksonomy tags.The tool was applied to a case study consisting of a framework for evaluating the usefulness of the generated semantic metadata within the context of a particular eLearning application. This implementation of the tool was evaluated over three dimensions: the quality, the searchability and the representativeness of the generated semantic metadata. The results show that folksonomy tags were acceptable for creating semantic metadata. Moreover, folksonomy tags showed the power of aggregating people's intelligence.The novel contribution of this work is the design of a tool that utilises folksonomy tags to automatically generate metadata with fine gained and extra educational semantics.iii

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“…The interoperability of learning objects in different learning systems is supported by the use of ontologies. The ontologies that will describe the structure of learning objects [Mohan and Brooks 2003]. …”

Section: Ontologiesmentioning

confidence: 99%

OBAA-LEME: A Learning Object Metadata Content Editor supported by Application Profiles and Educational Metadata Ontologies

Behr

Primo

Vicari

2014

Workshops Do Congresso Brasileiro De Informática Na Educação

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Abstract. This paper proposes an editor for Learning Object Metadata compatible with the Semantic Web. This tool uses two base ontologies, OBAA and VideoAula to provide the semantics to describe learning objects. These ontologies are the core for a tool to verify the consistency of the user-input data and realize inferences about the described information. Furthermore, this tool is mainly based on application profiles (derived from the base ontologies) that copes with the reasoning engine that verifies the description of the learning objects. The tool also serializes a learning object metadata ontology in an open server that can be reused in third-party applications.

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Learning objects on the semantic Web

Cited by 57 publications

References 6 publications

Avaliação de Tecnologias de Bancos de Dados Semânticos para a Construção de um Sistema Inteligente de Gestão de Conteúdos de Aprendizagem: Experimentos e Resultados

Avaliação de Tecnologias de Bancos de Dados Semânticos para a Construção de um Sistema Inteligente de Gestão de Conteúdos de Aprendizagem: Experimentos e Resultados

Automatic document-level semantic metadata annotation using folksonomies and domain ontologies

OBAA-LEME: A Learning Object Metadata Content Editor supported by Application Profiles and Educational Metadata Ontologies

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