Enhancing Digital Repositories with Learning Object Metadata

2010 ◽  
pp. 246-263
Author(s):  
Andreas D. Alexopoulos ◽  
Georgia D. Solomou ◽  
Dimitrios A. Koutsomitropoulos ◽  
Theodore Papatheodorou
Keyword(s):  
Learning Object ◽  
Dublin Core ◽  
Semantic Level ◽  
Digital Repositories ◽  
Learning Object Metadata ◽  
Ontological Model ◽  
Basic Characteristics ◽  
Educational Applications ◽  
Metadata Mapping ◽  
Research Resources

In this chapter the authors present the basic characteristics about some existing educational metadata schemata and application profiles. They focus on the widely adopted IEEE LOM standard and give a brief analysis of its structure. Having in mind the utilization of educational metadata schemata by digital repositories preserving educational and research resources, they concentrate on a considerably popular system for this reason, DSpace. The authors want to show how the IEEE LOM metadata set can be incorporated in the default DSpace’s qualified Dublin Core metadata schema, introducing enhancements to the existing University of Patras live installation. For this reason, they document a potential LOM to Dublin Core metadata mapping and reveal possible gains from such an attempt. Further, they propose an ontological model for the repository’s metadata that takes also into account the educational characteristics of resources. In this way, they show how a semantic level of interoperability between educational applications can be achieved.

Adaptation of Descriptive Metadata for Managing Educational Resources in the GREDOS Repository

2018 ◽  
pp. 2063-2085
Author(s):  
Erla M. Morales Morgado ◽  
Rosalynn A. Campos Ortuño ◽  
Ling Ling Yang ◽  
Tránsito Ferreras-Fernández
Keyword(s):  
Learning Styles ◽  
Mobile Apps ◽  
Learning Objects ◽  
Educational Resources ◽  
Learning Object ◽  
Institutional Repository ◽  
Dublin Core ◽  
Digital Repositories ◽  
Learning Object Metadata ◽  
Metadata Mapping

In this chapter the authors describe a Project entitled “Divulgación de Recursos Educativos Digitales (DIRED)” (Divulgation of Digital Educational Resources) addressed to promoting specific educational resources and mobile apps for educational proposals in order to manage them through the institutional repository of the Salamanca University (GREDOS). The authors present a proposal for describing learning objects based on pedagogical information, digital competences and learning styles. The authors also suggest educational information for classifying useful mobile apps. To achieve their suitable access and recovery, the authors focus on the use of Learning Object specific metadata in digital repositories such as LOM (Learning Object Metadata). The authors study the metadata mapping necessary to adapt from LOM to Qualified Dublin Core, because this is the standard used in the GREDOS repository built with a DSpace platform. Finally, the authors present their implementation of Learning Object Description in the GREDOS repository.

Adaptation of Descriptive Metadata for Managing Educational Resources in the GREDOS Repository

2014 ◽  
Vol 10 (4) ◽  
pp. 50-72 ◽  
Author(s):  
Erla M. Morales Morgado ◽  
Rosalynn A. Campos Ortuño ◽  
Ling Ling Yang ◽  
Tránsito Ferreras-Fernández
Keyword(s):  
Learning Styles ◽  
Mobile Apps ◽  
Learning Objects ◽  
Educational Resources ◽  
Learning Object ◽  
Dublin Core ◽  
Digital Repositories ◽  
Object Description ◽  
Learning Object Metadata ◽  
Metadata Mapping

In this paper the authors describe a Project entitled “Divulgación de Recursos Educativos Digitales (DIRED)” (Divulgation of Digital Educational Resources) addressed to promoting specific educational resources and mobile apps for educational proposals in order to manage them through the institutional repository of the Salamanca University (GREDOS). The authors present a proposal for describing learning objects based on pedagogical information, digital competences and learning styles. The authors also suggest educational information for classifying useful mobile apps. To achieve their suitable access and recovery, the authors focus on the use of Learning Object specific metadata in digital repositories such as LOM (Learning Object Metadata). The authors study the metadata mapping necessary to adapt from LOM to Qualified Dublin Core, because this is the standard used in the GREDOS repository built with a DSpace platform. Finally, the authors present their implementation of Learning Object Description in the GREDOS repository.

scholarly journals A Semantic Distances-Based Approach for a Deeply Indexing of Learning Objects

2019 ◽  
Vol 14 (06) ◽  
pp. 27 ◽  
Author(s):  
Kamal El Guemmat ◽  
Sara Ouahabi
Keyword(s):  
Search Engines ◽  
Learning Objects ◽  
Learning Object ◽  
Automatic Indexing ◽  
New Approach ◽  
Learning Object Metadata ◽  
Depth Extraction ◽  
Semantic Distances ◽  
Linguistic Structures

Educational search engines are important for users to find learning objects (LO). However, these engines have not reached maturity in terms of searching, they suffer from several worries like the deep extraction of notions which diminishes their performance. The purpose of this paper is to propose a new approach that allows depth extraction of LO’s notions to increase the relevance level of educational search engines. The proposed approach focuses on semi-automatic indexing of textual LO and more precisely the deeper relations of sentences that flesh out explanations. It based on linguistic structures and semantic distances between specific and generic notions according to OntOAlgO ontology. The notions obtained will be improved by learning object metadata (LOM) and will be represented semantically in final index. The tests performed on algorithmic LO, proving the usefulness of our approach to educational search engines. It increases the degree of precision and recall of notions extracted from LO.

Semantic Metadata Interoperability and Inference-Based Querying in Digital Repositories

2009 ◽  
Vol 2 (4) ◽  
pp. 36-52 ◽  
Author(s):  
Dimitrios A. Koutsomitropoulos ◽  
Georgia D. Solomou ◽  
Andreas D. Alexopoulos ◽  
Theodore S. Papatheodorou
Keyword(s):  
Semantic Web ◽  
Semantic Interpretation ◽  
Dublin Core ◽  
Digital Resources ◽  
Metadata Standard ◽  
Digital Repositories ◽  
Semantic Metadata ◽  
Owl Ontology ◽  
Machine Readable ◽  
Metadata Interoperability

Metadata applications have evolved in time into highly structured “islands of information” about digital resources, often bearing a strong semantic interpretation. Scarcely, however, are these semantics being communicated in machine readable and understandable ways. At the same time, the process for transforming the implied metadata knowledge into explicit Semantic Web descriptions can be problematic and is not always evident. In this article we take upon the well-established Dublin Core metadata standard as well as other metadata schemata, which often appear in digital repositories set-ups, and suggest a proper Semantic Web OWL ontology. In this process the authors cope with discrepancies and incompatibilities, indicative of such attempts, in novel ways. Moreover, we show the potential and necessity of this approach by demonstrating inferences on the resulting ontology, instantiated with actual metadata records. The authors conclude by presenting a working prototype that provides for inference-based querying on top of digital repositories.

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