990 resultados para g.a.f.f.e, metadata editor, ontology, dublin core, open office addon
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The purpose of this thesis is to enhance the functionalities of GAFFE, a flexible, interactive and user-friendly application for editing metadata in office documents by supporting different ontologies stored inside and outside of the digital document, by adding new views and forms and by improving its ease of use.
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The content of a Learning Object is frequently characterized by metadata from several standards, such as LOM, SCORM and QTI. Specialized domains require new application profiles that further complicate the task of editing the metadata of learning object since their data models are not supported by existing authoring tools. To cope with this problem we designed a metadata editor supporting multiple metadata languages, each with its own data model. It is assumed that the supported languages have an XML binding and we use RDF to create a common metadata representation, independent from the syntax of each metadata languages. The combined data model supported by the editor is defined as an ontology. Thus, the process of extending the editor to support a new metadata language is twofold: firstly, the conversion from the XML binding of the metadata language to RDF and vice-versa; secondly, the extension of the ontology to cover the new metadata model. In this paper we describe the general architecture of the editor, we explain how a typical metadata language for learning objects is represented as an ontology, and how this formalization captures all the data required to generate the graphical user interface of the editor.
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2003 Dublin Core Metadata Initiative Proceedings appear in both print and online form. In order to aid search and retrieval of this growing body of research a researchers at the University of Washington and Siderean Software have started a metadata thesaurus. This poster reports on those efforts.
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Nowadays, the popularity of the Web encourages the development of Hypermedia Systems dedicated to e-learning. Nevertheless, most of the available Web teaching systems apply the traditional paper-based learning resources presented as HTML pages making no use of the new capabilities provided by the Web. There is a challenge to develop educative systems that adapt the educative content to the style of learning, context and background of each student. Another research issue is the capacity to interoperate on the Web reusing learning objects. This work presents an approach to address these two issues by using the technologies of the Semantic Web. The approach presented here models the knowledge of the educative content and the learner’s profile with ontologies whose vocabularies are a refinement of those defined on standards situated on the Web as reference points to provide semantics. Ontologies enable the representation of metadata concerning simple learning objects and the rules that define the way that they can feasibly be assembled to configure more complex ones. These complex learning objects could be created dynamically according to the learners’ profile by intelligent agents that use the ontologies as the source of their beliefs. Interoperability issues were addressed by using an application profile of the IEEE LOM- Learning Object Metadata standard.
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Provenance is key for describing the evolution of a resource, the entity responsible for its changes and how these changes affect its final state. A proper description of the provenance of a resource shows who has its attribution and can help resolving whether it can be trusted or not. This tutorial will provide an overview of the W3C PROV data model and its serialization as an OWL ontology. The tutorial will incrementally explain the features of the PROV data model, from the core starting terms to the most complex concepts. Finally, the tutorial will show the relation between PROV-O and the Dublin Core Metadata terms.
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This article shows the work developed for adapting metadata conform to the official Colombian metadata standard NTC 4611 to the international standard ISO 19115. CatMDedit, an open source metadata editor, is used in this task. CatMDedit is able of import variants of CSDGM such as NTC 4611 and export to the stable version of ISO 19139 (the XML implementation model of ISO 19115)
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Software assets are key output of the RAGE project and they can be used by applied game developers to enhance the pedagogical and educational value of their games. These software assets cover a broad spectrum of functionalities – from player analytics including emotion detection to intelligent adaptation and social gamification. In order to facilitate integration and interoperability, all of these assets adhere to a common model, which describes their properties through a set of metadata. In this paper the RAGE asset model and asset metadata model is presented, capturing the detail of assets and their potential usage within three distinct dimensions – technological, gaming and pedagogical. The paper highlights key issues and challenges in constructing the RAGE asset and asset metadata model and details the process and design of a flexible metadata editor that facilitates both adaptation and improvement of the asset metadata model.
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Il presente lavoro si basa su un progetto applicativo chiamato Simplex, un editor per documenti legislativi redatti nel formato Akoma Ntoso, basato su standard XML e nato con lo scopo di ovviare ai problemi del suo predecessore LIME. Obiettivo principale del lavoro è la creazione di un componente fondamentale nell'editor Simplex, ovvero l'editor di metadati. Come suggerito dal nome, il componente ha il compito di interfacciarsi con il documento che si sta elaborando e in particolar modo con i metadati che descrivono la natura del documento, dando la possibilità all'utente di modificare questi ultimi. Durante lo sviluppo di questo progetto sono state create e definite le basi applicative su cui la tesi si è incentrata. Questo progetto è stato sviluppato tenendo in considerazione anche delle possibili future implementazioni che verranno discusse nel capitolo dedicato agli sviluppi futuri.
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In this paper we describe an open learning object repository on Statistics based on DSpace which contains true learning objects, that is, exercises, equations, data sets, etc. This repository is part of a large project intended to promote the use of learning object repositories as part of the learning process in virtual learning environments. This involves the creation of a new user interface that provides users with additional services such as resource rating, commenting and so. Both aspects make traditional metadata schemes such as Dublin Core to be inadequate, as there are resources with no title or author, for instance, as those fields are not used by learners to browse and search for learning resources in the repository. Therefore, exporting OAI-PMH compliant records using OAI-DC is not possible, thus limiting the visibility of the learning objects in the repository outside the institution. We propose an architecture based on ontologies and the use of extended metadata records for both storing and refactoring such descriptions.
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Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014
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Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014
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Panel at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014
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Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014