Topic
Meta Data Services
About: Meta Data Services is a research topic. Over the lifetime, 2564 publications have been published within this topic receiving 40102 citations.
Papers published on a yearly basis
Papers
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13 Dec 2011
TL;DR: In this article, the authors describe a system that receives metadata associated with an activity of a user with respect to a first device and captures discovery content from one or more media sources based on the metadata.
Abstract: Methods and systems may involve receiving metadata associated with an activity of a user with respect to a first device, and capturing discovery content from one or more media sources based on the metadata. In addition, the discovery content and the metadata may be presented to the user via a second device.
28 citations
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09 May 2008TL;DR: In this paper, techniques and systems for implementing an automated presentation of media content having associated metadata are described, where the system provides an automated transition that corresponds to a relationship between a first media content item's metadata and metadata associated with a second media content items.
Abstract: Among other things, techniques and systems are disclosed for implementing an automated presentation of media content having associated metadata. The system provides an automated transition that corresponds to a relationship between a first media content item's metadata and metadata associated with a second media content item. The automated system also provides an automated information overlay that corresponds to a relationship between a first media content item's associated metadata and metadata associated with a second media content item. The automated system also can obtain information corresponding to metadata of the media content and provides automated information overlays while displaying the media content in a presentation.
28 citations
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28 Sep 2003TL;DR: This paper reports on the design process and on two author surveys that gathered feedback on the usability of both versions of the NIEHS metadata application (Version 1.0 and 2.0), and identifies further research needs specific to author generated metadata tools.
Abstract: The National Institute of Environmental Heath Sciences (NIEHS), as part of the Metadata Generation Research Project, is exploring resource authors' abilities for creating acceptable metadata. As part of this work, two different versions of the NIEHS Dublin Core-based metadata generation tool have been tested. An iterative design approach, supported by cognitive walkthroughs, guided the design of the NIEHS metadata application. This paper reports on the design process and on two author surveys that gathered feedback on the usability of both versions of the NIEHS metadata application (Version 1.0 and 2.0). The results show a slight improvement between Version 1.0 and Version 2.0. The paper concludes by summarizing key findings and identifying further research needs specific to author generated metadata tools.
28 citations
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01 May 2011
TL;DR: An introduction to Metadata for Digital Collections and Designing and Documenting a Metadata Scheme and Metadata, Linked Data, and the Semantic Web.
Abstract: Foreword - Diane I. Hillmann 1. Introduction to Metadata for Digital Collections 2. Introduction to Resource Description and Dublin Core 3. Resource Identification and Responsibility Elements 4. Resource Content and Relationship Elements 5. Controlled Vocabularies for Improved Resource Discovery 6. XML-Encoded Metadata 7. MODS:The Metadata Object Description Schema 8. VRA Core: The Visual Resources Association Core Categories 9. Metadata Interoperability, Shareability, and Quality 10. Designing and Documenting a Metadata Scheme 11. Metadata, Linked Data, and the Semantic Web.
28 citations
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27 Feb 2015
TL;DR: In this paper, the authors propose a platform for data management that leverages a metadata repository, which tracks and manages all aspects of the data lifecycle, including status information (load dates, quality exceptions, access rights, etc.), definitions (business meaning, technical formats, etc.).
Abstract: An analytical computing environment for large data sets comprises a software platform for data management. The platform provides various automation and self-service features to enable those users to rapidly provision and manage an agile analytics environment. The platform leverages a metadata repository, which tracks and manages all aspects of the data lifecycle. The repository maintains various types of platform metadata including, for example, status information (load dates, quality exceptions, access rights, etc.), definitions (business meaning, technical formats, etc.), lineage (data sources and processes creating a data set, etc.), and user data (user rights, access history, user comments, etc.). Within the platform, the metadata is integrated with all platform services, such as load processing, quality controls and system use. As the system is used, the metadata gets richer and more valuable, supporting additional automation and quality controls.
27 citations