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- A-1009 creator douglas-donald-dunlop.
- A-1009 creator stephanie-ogeneski-christensen.
- A-1009 type InProceedings.
- A-1009 label "The Case for Implementing Core Descriptive Embedded Metadata at the Smithsonian".
- A-1009 sameAs A-1009.
- A-1009 abstract "The current mandate to digitize all collections at the Smithsonian Institution along with the increasing need to share data and increase access to collections has made it essential to establish institutional metadata standards, including those for embedding metadata. This paper documents the ongoing process of establishing core embedded metadata within the institution through the work of the Smithsonian Embedded Metadata Group, which is pan-institutional in nature and includes museums, libraries, archives, and research institutes. The focus of the working group described within this paper is the creation of core embedded metadata fields for use in still images.".
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- A-1009 title "The Case for Implementing Core Descriptive Embedded Metadata at the Smithsonian".
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- item-1 hasContent stephanie-ogeneski-christensen.
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- A-1010 creator jennifer-b-bowen.
- A-1010 type InProceedings.
- A-1010 label "Moving Library Metadata Toward Linked Data: Opportunities Provided by the eXtensible Catalog".
- A-1010 sameAs A-1010.
- A-1010 abstract "To ensure that they can participate in the Semantic Web, libraries need to prepare their legacy metadata for use as linked data. eXtensible Catalog (XC) software facilitates converting legacy library data into linked data using a platform that enables risk-free experimentation and that can be used to address problems with legacy metadata using batch services. The eXtensible Catalog also provides “lessons learned” regarding the conversion of legacy data to linked data by demonstrating what MARC metadata elements can be transformed to linked data, and helping to suggest priorities for the cleanup and enrichment of legacy data. Converting legacy metadata to linked data will require a team of experts, including MARC-based catalogers, specialists in other metadata schemas, software developers, and Semantic Web experts to design and test normalization/conversion algorithms, develop new schemas, and prepare individual records for automated conversion. Library software applications that do not depend upon linked data may currently have little incentive to enable its use. However, given recent advances in registering legacy library vocabularies, converting national library catalogs to linked data, and the availability of open source software such as XC to convert legacy data to linked data, libraries may soon find it difficult to justify continuing to create metadata that is not linked data compliant. The library community can now begin to propose smart practices for using linked data, and can encourage library system developers to implement linked data. XC is demonstrating that implementing linked data, and converting legacy library data to linked data, are indeed achievable.".
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- A-1010 title "Moving Library Metadata Toward Linked Data: Opportunities Provided by the eXtensible Catalog".
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- item-1 hasContent jennifer-b-bowen.
- A-1013 creator andrea-kathleen-wiggins.
- A-1013 creator jian-qin.
- A-1013 creator miao-chen.
- A-1013 creator xiaozhong-liu.
- A-1013 type InProceedings.
- A-1013 label "Linking Entities in Scientific Metadata".
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- A-1013 abstract "Linked entity data in metadata records builds a foundation for semantic web. Even though metadata records contain rich entity data, there is no linking between associated entities such as persons, datasets, projects, publications, or organizations. We conducted a small experiment using the dataset collection from the Hubbard Brook Ecosystem Study (HBES), in which we converted the entities and their relationships into RDF triples and linked the URIs contained in RDF triples to the corresponding entities in the Ecological Metadata Language (EML) records. Through the transformation program written in XML Stylesheet Language (XSL), we turned a plain EML record display into an interlinked semantic web of ecological datasets. The experiment suggests a methodological feasibility in incorporating linked entity data into metadata records. The paper also argues for the need of changing the scientific as well as general metadata paradigm.".
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- A-1013 title "Linking Entities in Scientific Metadata".
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- item-1 hasContent jian-qin.
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- item-2 hasContent miao-chen.
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- item-3 hasContent xiaozhong-liu.
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- item-4 hasContent andrea-kathleen-wiggins.
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- A-1018 creator sherry-koshman.
- A-1018 type InProceedings.
- A-1018 label "Visualizing Metadata for Environmental Datasets".
- A-1018 sameAs A-1018.
- A-1018 abstract "Data growth in the environmental sciences has resulted in multidimensional datasets that are heterogeneous and extensive. Scientific academic research includes scalar, sensor, or vector data, which may be publically available. The datasets generated extend to local environmental groups whose trained citizens contribute to the surveillance of local habitats and ecological conditions that can potentially enhance various data analyses on a national and international level. While the abundance of environmental data is growing, tools to select, compare, and utilize the growing number of datasets generated from multiple institutions and groups are not keeping pace. This paper focuses on planning the construction of a dataset visualization that concentrates on the use of metadata to facilitate the identification, selection, and comparison of dataset information. It is presented in the visualization framework at the School of Information Sciences called VIBE (Visual Information Browsing Environment) and plans to adapt the Dublin Core Metadata Element Set as a basis for its development. In the long term, visualization may emerge not only as a primary tool for modeling environmental scientific metadata, but also as a mechanism used at the incipience of environmental scientific discovery.".
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- A-1018 title "Visualizing Metadata for Environmental Datasets".
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