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  1. Understanding metadata (2004) 0.02
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    Abstract
    Metadata (structured information about an object or collection of objects) is increasingly important to libraries, archives, and museums. And although librarians are familiar with a number of issues that apply to creating and using metadata (e.g., authority control, controlled vocabularies, etc.), the world of metadata is nonetheless different than library cataloging, with its own set of challenges. Therefore, whether you are new to these concepts or quite experienced with classic cataloging, this short (20 pages) introductory paper on metadata can be helpful
    Date
    10. 9.2004 10:22:40
    Imprint
    Washington, DC : National Information Standards Organization
  2. Baker, T.: ¬A grammar of Dublin Core (2000) 0.01
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    Abstract
    Dublin Core is often presented as a modern form of catalog card -- a set of elements (and now qualifiers) that describe resources in a complete package. Sometimes it is proposed as an exchange format for sharing records among multiple collections. The founding principle that "every element is optional and repeatable" reinforces the notion that a Dublin Core description is to be taken as a whole. This paper, in contrast, is based on a much different premise: Dublin Core is a language. More precisely, it is a small language for making a particular class of statements about resources. Like natural languages, it has a vocabulary of word-like terms, the two classes of which -- elements and qualifiers -- function within statements like nouns and adjectives; and it has a syntax for arranging elements and qualifiers into statements according to a simple pattern. Whenever tourists order a meal or ask directions in an unfamiliar language, considerate native speakers will spontaneously limit themselves to basic words and simple sentence patterns along the lines of "I am so-and-so" or "This is such-and-such". Linguists call this pidginization. In such situations, a small phrase book or translated menu can be most helpful. By analogy, today's Web has been called an Internet Commons where users and information providers from a wide range of scientific, commercial, and social domains present their information in a variety of incompatible data models and description languages. In this context, Dublin Core presents itself as a metadata pidgin for digital tourists who must find their way in this linguistically diverse landscape. Its vocabulary is small enough to learn quickly, and its basic pattern is easily grasped. It is well-suited to serve as an auxiliary language for digital libraries. This grammar starts by defining terms. It then follows a 200-year-old tradition of English grammar teaching by focusing on the structure of single statements. It concludes by looking at the growing dictionary of Dublin Core vocabulary terms -- its registry, and at how statements can be used to build the metadata equivalent of paragraphs and compositions -- the application profile.
    Date
    26.12.2011 14:01:22
  3. Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007) 0.01
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    Date
    22. 9.2007 15:41:14
  4. ¬The Dublin Core Metadata Element Set (2007) 0.00
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    Abstract
    Defines fifteen metadata elements for resource description in a cross-disciplinary information environment
    Editor
    National Information Standards Organization
  5. ¬The Dublin Core Metadata Element Set (2012) 0.00
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    Abstract
    Defines fifteen metadata elements for resource description in a cross-disciplinary information environment.
    Editor
    National Information Standards Organization
  6. Cranefield, S.: Networked knowledge representation and exchange using UML and RDF (2001) 0.00
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    Abstract
    This paper proposes the use of the Unified Modeling Language (UML) as a language for modelling ontologies for Web resources and the knowledge contained within them. To provide a mechanism for serialising and processing object diagrams representing knowledge, a pair of XSI-T stylesheets have been developed to map from XML Metadata Interchange (XMI) encodings of class diagrams to corresponding RDF schemas and to Java classes representing the concepts in the ontologies. The Java code includes methods for marshalling and unmarshalling object-oriented information between in-memory data structures and RDF serialisations of that information. This provides a convenient mechanism for Java applications to share knowledge on the Web
    Source
    Journal of digital information. 1(2001) no.8
  7. Kunze, J.: ¬A Metadata Kernel for Electronic Permanence (2002) 0.00
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    Source
    Journal of digital information. 2(2002) no.2,
  8. Lagoze, C.; Hunter, J.: ¬The ABC Ontology and Model (2002) 0.00
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    Source
    Journal of digital information. 2(2002) no.2,
  9. Howarth, L.C.: Metadata schemes for subject gateways (2003) 0.00
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    Theme
    Information Gateway
  10. Siripan, P.: Metadata and trends of cataloging in Thai libraries (1999) 0.00
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    Abstract
    A status of cataloging in Thailand shows a movement toward the use of information technology. The international standards for cataloging are being used and modified to effectively organize the information resources. An expanded scope of resources needed cataloging now covers cataloging the Web resources. The paper mentions Thailand's participation in the international working group on the use of metadata for libraries
  11. Anutariya, C.; Wuwongse, K.; Akama, E.; Nantajeewarawat, E.: RDF Declarative Description (RDD) : A Language for Metadata (2002) 0.00
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    Source
    Journal of digital information. 2(2002) no.2,
  12. Baker, T.; Dekkers, M.; Heery, R.; Patel, M.; Salokhe, G.: What Terms Does Your Metadata Use? : Application Profiles as Machine-Understandable Narratives (2002) 0.00
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    Source
    Journal of digital information. 2(2002) no.2,
  13. Apps, A.; MacIntyre, R.; Heery, R.; Patel, M.; Salokhe, G.: Zetoc : a Dublin Core Based Current Awareness Service (2002) 0.00
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    Source
    Journal of digital information. 2(2002) no.2,
  14. Greenberg, J.; Pattuelli, M.; Parsia, B.; Robertson, W.: Author-generated Dublin Core Metadata for Web Resources : A Baseline Study in an Organization (2002) 0.00
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    Source
    Journal of digital information. 2(2002) no.2,
  15. Wen, D.; Sakaguchi, T.; Sugimoto, S.; Tabata, K.: Multilingual Access to Dublin Core Metadata of ULIS Library (2002) 0.00
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    Source
    Journal of digital information. 2(2002) no.2,
  16. Riley, J.: Understanding metadata : what is metadata, and what is it for? (2017) 0.00
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    Imprint
    Baltimore : National Information Standards Organization
  17. Roy, W.; Gray, C.: Preparing existing metadata for repository batch import : a recipe for a fickle food (2018) 0.00
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    Date
    10.11.2018 16:27:22
  18. Godby, C.J.; Young, J.A.; Childress, E.: ¬A repository of metadata crosswalks (2004) 0.00
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    Abstract
    This paper proposes a model for metadata crosswalks that associates three pieces of information: the crosswalk, the source metadata standard, and the target metadata standard, each of which may have a machine-readable encoding and human-readable description. The crosswalks are encoded as METS records that are made available to a repository for processing by search engines, OAI harvesters, and custom-designed Web services. The METS object brings together all of the information required to access and interpret crosswalks and represents a significant improvement over previously available formats. But it raises questions about how best to describe these complex objects and exposes gaps that must eventually be filled in by the digital library community.
  19. Buckland, M.; Chen, A.; Chen, H.M.; Kim, Y.; Lam, B.; Larson, R.; Norgard, B.; Purat, J.; Gey, F.: Mapping entry vocabulary to unfamiliar metadata vocabularies (1999) 0.00
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    Footnote
    Vgl.: http://www.dlib.org/dlib/january99/buckland/01buckland.html und http://www.sims.berkeley.edu/research/metadata/oasis.html.
  20. What is Schema.org? (2011) 0.00
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    Abstract
    This site provides a collection of schemas, i.e., html tags, that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google and Yahoo! rely on this markup to improve the display of search results, making it easier for people to find the right web pages. Many sites are generated from structured data, which is often stored in databases. When this data is formatted into HTML, it becomes very difficult to recover the original structured data. Many applications, especially search engines, can benefit greatly from direct access to this structured data. On-page markup enables search engines to understand the information on web pages and provide richer search results in order to make it easier for users to find relevant information on the web. Markup can also enable new tools and applications that make use of the structure. A shared markup vocabulary makes easier for webmasters to decide on a markup schema and get the maximum benefit for their efforts. So, in the spirit of sitemaps.org, Bing, Google and Yahoo! have come together to provide a shared collection of schemas that webmasters can use.