Proceedings of the International Conference on Dublin Core and Metadata Applications (DCMI)
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    455 research outputs found

    IFLA LRM - Finally Here

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    The IFLA Library Reference Model (IFLA LRM) consolidates the three models of the FRBR Family. In this paper first the differences between the three models are presented as well as the major modeling and presentation issues identified. The main part is the general description of IFLA LRM. Only the most important features are presented, with examples illustrating the modeling approaches

    A Data Model for Lifecycle Management of Natural Hazards Engineering Data

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    We introduce work accomplished to design and implement a data model and metadata for ongoing curation and publication of natural hazards engineering data derived from experimental research projects. The data model was designed with the input of researchers involved in the space and implemented in the DesignSafe-CI platform

    Automatic Creation of Mappings between Classification Systems for Bibliographic Data

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    Classification systems are an important means to provide topic based access to large collections. They are utilized by a number of approaches for faceted browsing, graphical search support and lately also for collection visualisation and analysis. Most of these approaches have been developed with a specific classification system in mind and often exploit some of the inherent characteristics of the system. Collections that are indexed using local or special classification systems cannot benefit from the vast majority of innovative applications developed for the more commonly used classification systems. One way to alleviate this problem is the use of mappings between classification systems. Traditionally, these mappings have been created in a manual and time consuming process involving subject specialists.In this paper, we discuss another approach to automatically create mappings between classification systems. The approach consists of three steps: First, bibliographic data from diverse sources that contain items classified by the required classification systems is aggregated in a single database. Next, a clustering algorithm is used to group individual issues and editions of the same work. The basic idea is that for classification purposes, there is no significant difference across editions and indexing information can thus be consolidated within the clusters. Finally, the clusters containing information from both required systems are added up to create a cooccurrence table. This information can be used to describe correlations between individual classes of the two classification systems and forms the basis of a full mapping between the two systems. First results from an application of this approach to data from German union catalogues and comparing the derived mappings to manually created ones are quite promising and show the potential of this idea

    Identifier Services: Tracking Objects and Metadata Across Time and Distributed Storage Systems

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    This paper describes research around Identifier Services (IDS). IDS is designed to bind dispersed data objects and verify aspects of their identity and integrity, independent of where the data are located and whether they are duplicate, partial, private, published, active, or static. IDS will allow individuals and repositories to manage, track, and preserve different types of identifiers and their associated data and metadata. The IDS data model which focuses on research processes and the relationship between their data inputs and outputs will significantly improve provenance metadata of distributed collections at any point of their lifecycle

    Metadata on Biodiversity: Definition and Implementation

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    SINP (Information system on nature and landscape) and ECOSCOPE (Observation for research on biodiversity data hub) are two distinct scientific infrastructures on biodiversity relying on different data sources and producers. Their main objective is to document and share information on biodiversity in France. INPN (https://inpn.mnhn.fr) is the reference information system for data related to nature. It manages and disseminates the reference data of the "geodiversity and biodiversity" part of the SINP, and deliver the metadata and data to GBIF (Global Biodiversity Information Facility). For SINP and Ecoscope projects, working groups composed of scientific organisations have defined two compliant metadata profiles, also compliant with INSPIRE Directive, to describe data on this thematic. These profiles are implemented using existing metadata standards: ISO 19115/19139 (for geographic metadata) for SINP and EML (Ecological Metadata Language) and ISO 19115/19139 for ECOSCOPE. A mapping has also been processed between the two profiles, as well as several thesaurus for keywords and a classification system for taxonomic identification are used, so as to ensure interoperability between systems. The profiles are implemented in web applications for editing and managing data (GeoSource/GeoNetwork for SINP and an ad hoc application for ECOSCOPE). These applications allow the harvesting of metadata using OGC/CSW (Catalog Service for the Web) standard. Next steps will support increased metadata visibility through the automatization of web-services

    Modeling Cultural Evolution with Metadata Collections

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    Descriptive metadata is typically used to record information about digital artifacts. Collections of descriptive metadata records can also be used to study institutional attributes of the cultures that produce, use, and cooperate in provisioning digital artifacts. In this poster we describe an approach to modeling cultural evolution, phylomemetic analysis, using collections of metadata records that describe digital artifacts

    The Global Agricultural Concept Scheme and Agrisemantics

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    Key concepts from three thesauri about agriculture and nutrition -- AGROVOC, CAB Thesaurus, and NAL Thesaurus -- have been merged into a Global Agricultural Concept Scheme (GACS). The respective partner organizations -- Food and Agriculture Organization of the UN (FAO), CAB International (CABI), and the USDA National Agricultural Library (NAL) -- undertook this initiative in 2013 with the goal of facilitating search across databases, improving the semantic reach of their databases by supporting queries that freely draw on terms from any mapped thesaurus, and achieving economies of scale from joint maintenance. The GACS beta release of May 2016 has 15,000 concepts and over 350,000 terms in 28 languages. Some inevitable results of this process of aggregation, such as overlapping labels, have already been fixed. Other issues, such as concepts with multiple hierarchical relations ("polyhierarchy"), have yet to be tackled. GACS is seen as a first step for Agrisemantics, an emerging community network of semantic assets relevant to agriculture and food security

    Extending Legacy Metadata with Linked Open Data

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    Library special collections are valued by scholars and relied on to support both research and teaching. In recent years libraries have invested heavily in digitizing many of these collections. Unfortunately less effort and fewer resources have been expended post-digitization and many digitized library special collections today exist on the Web only in isolated information silos, difficult to find and disconnected from other resources that could provide users with valuable context. This begs the question: Can Linked Open Data (LOD) approaches be leveraged to help contextualize and enrich item-level descriptions of such collections and provide links to related information resources? This project report describes preliminary results from Exploring the Benefits for Users of LOD for Digitized Special Collections, a project still in progress which is examining this and related questions. Among the findings reported here: while special collections metadata are typically rich and ripe with LOD potential, the idiosyncratic nature of the collections and the metadata schemes used pose unique mapping and transformation challenges; the opportunity for adding links to item-level metadata is great, but finding links still requires significant cataloger involvement; at the scale of most library special collections, information from LOD sources can be retrieved in real time to enhance the presentation of items to end-users, providing context and links to related information. These findings suggest that the transformation of metadata into LOD and the inclusion in item descriptions of links can improve the connectedness of digitized special collections and enhance user interactions with these resources

    Committees

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    Preliminary pages including Program Committee listing and Table of Contents

    Save the Children Resource Libraries: Aligning Internal Technical Resource Libraries with a Public Distribution Website

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    Save the Children (STC) is an international NGO that promotes children's rights, provides relief and helps support children across the globe. With international headquarters in London, STC has 30 national members and supports local partners in over 100 countries worldwide. STC International maintains technical infrastructures that are available to members and local partners including SharePoint, Drupal and other information management applications. An effort to specify and implement a common resource library for curating and sharing internal technical resources has been underway since November 2015. This has included an inventory of existing (but heterogeneous) resource libraries on STC's work in the thematic area of Health and Nutrition, and agreement on a common metadata specification and some controlled vocabularies to be used going forward. This internal resource library has been aligned with STC's Resource Centre (resourcecentre.savethechildren.se), a public web-accessible library that hosts comprehensive, reliable and up-to-date information on STC's work in the thematic areas of Child Protection, Child Rights Governance and Child Poverty. The goal is to make it easy for content curators to identify items in the internal technical resource library, and to publish them to the public Resource Centre with a minimum transformation of metadata required. This presentation discusses how this project has reached consensus on how to accomodate and balance internal research and external communications requirements by developing a light-weight application profile

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