1,016 research outputs found

    DCMI-Tools: Ontologies for Digital Application Description

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    The growth in electronic and digital publishing on the World Wide Web has led to the development of a wide range of tools for generating metadata. As a result, it can be difficult to select the appropriate type of application and the best metadata tool to support a project's metadata needs. The Dublin Core Tools (DCMI Tools) Community recognizes this need and is developing an application profile and a taxonomy of tool functionalities for describing metadata applications. The community will use the application profile and the taxonomy to standardize access to information on metadata via the DCMI Tools and Software program. This paper reports on the DCMI Tool Community's activities to develop an application profile for describing the wide range of applications (algorithms; metadata templates, editors, and generators; and other software) fitting this rubric. The paper begins with an introduction to metadata application challenges, and introduces the DCMI Tools Community in order to provide important historical context. Next, the paper reviews the concept of application profile and emphasizes the importance of this approach for describing metadata tools. The paper reviews procedures to develop the application profile and presents the DCMI Tools application profile. The paper also presents a metadata tool functionality taxonomy (to be used with the application profile), a glossary (to assist people in learning about metadata tools), and the DCMI Tool Community's implementation plans. The final part of the paper presents several conclusions and highlights next steps

    For the love of metadata? : a functional approach to describing scholarly works

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    Repositories are springing up across institutions in the UK and worldwide. For institutional repositories there is a pressing need to fill them with content and to make those contents available through search interfaces, aggregators and other services. Speed and easy access are paramount both for depositors, who want to add their materials to the repository with minimum effort, and for researchers, who want to discover the quickest route to the full-text. Consistent, good quality metadata is needed to provide the signpost to full-texts, yet there is a resulting tension between the effort required to create, and share, metadata and the needs of depositors. Research and scholarly outputs are one of the main content types collected and managed by institutional repositories, in particular the research papers, or scholarly works, produced by academics and researchers1. In May 2006, the Joint Information Systems Committee JISC) engaged the Eduserv Foundation and UKOLN to produce an application profile for scholarly works that would facilitate the sharing of richer metadata between repositories and aggregators such as the newly-funded Intute search project. This article describes the development of the application profile

    Describing Scholarly Works with Dublin Core: A Functional Approach

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    This article describes the development of the Scholarly Works Application Profile (SWAP)—a Dublin Core application profile for describing scholarly texts. This work provides an active illustration of the Dublin Core Metadata Initiative (DCMI) “Singapore Framework” for Application Profiles, presented at the DCMI Conference in 2007, by incorporating the various elements of Application Profile building as defined by this framework—functional requirements, domain model, description set profile, usage guidelines, and data format. These elements build on the foundations laid down by the Dublin Core Abstract Model and utilize a preexisting domain model (FR-BR—Functional Requirements for Bibliographic Records) in order to support the representation of complex data describing multiple entities and their relationships. The challenges of engaging community acceptance and implementation will be covered, along with other related initiatives to support the growing corpus of scholarly resource types, such as data objects, geographic data, multimedia, and images whose structure and metadata requirements introduce the need for new application profiles. Finally, looking to other initiatives, the article will comment on how Dublin Core relates to the broader scholarly information world, where projects like Object Re-use and Exchange are attempting to better equip repositories to exchange resources

    Study on the use of metadata for digital learning objects in university institutional repositories (MODERI)

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    Metadata is a core issue for the creation of repositories. Different institutional repositories have chosen and use different metadata models, elements and values for describing the range of digital objects they store. Thus, this paper analyzes the current use of metadata describing those Learning Objects that some open higher educational institutions' repositories include in their collections. The goal of this work is to identify and analyze the different metadata models being used to describe educational features of those specific digital educational objects (such as audience, type of educational object, learning objectives, etc.). Also discussed is the concept and typology of Learning Objects (LO) through their use in University Repositories. We will also examine the usefulness of specifically describing those learning objects, setting them apart from other kind of documents included in the repository, mainly scholarly publications and research results of the Higher Education institution.En prens

    Sustaining Collection Value: Managing Collection/Item Metadata Relationships

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    Many aspects of managing collection/item metadata relationships are critical to sustaining collection value over time. Metadata at the collection-level not only provides context for finding, understanding, and using the items in the collection, but is often essential to the particular research and scholarly activities the collection is designed to support. Contemporary retrieval systems, which search across collections, usually ignore collection level metadata. Alternative approaches, informed by collection-level information, will require an understanding of the various kinds of relationships that can obtain between collection-level and item-level metadata. This paper outlines the problem and describes a project that is developing a logic-based framework for classifying collection-level/item-level metadata relationships. This framework will support (i) metadata specification developers defining metadata elements, (ii) metadata librarians describing objects, and (iii) system designers implementing systems that help users take advantage of collection-level metadata.Institute for Museum and Libary Services (Grant #LG06070020)published or submitted for publicationis peer reviewe

    Application profiles:interoperable friend or foe?

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    Learner-centred Accessibility for Interoperable Web-based Educational Systems

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    This paper describes the need for an information model and specifications that support a new strategy for delivering accessible computer-based resources to learners based on their specific needs and preferences in the circumstances in which they are operating. The strategy augments the universal accessibility of resources model to enable systems to focus on individual learners and their particular accessibility needs and preferences. A set of specifications known as the AccessForAll specifications is proposed

    Metadata interoperability in public sector information

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    Over recent years, there has been a worldwide growing need for interoperability among the systems that manage and reuse Public Sector Information. This paper explores the documentation needs for Public Sector Information and focuses on metadata interoperability issues. The research work studies a variety of public sector information metadata standards and guidelines internationally accepted and presents two methodologies to obtain interoperability: The first develops an Application Profile, while the second is based on the semantic integration approach and results in the creation of an ontology. The outcomes of the two approaches are compared under the prism of their scope and usage in terms of interoperability during the metadata integration process
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