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  1. 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) 0.01 
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    Abstract
    The emerging network environment brings access to an increasing population of heterogeneous repositories. Inevitably, these, have quite diverse metadata vocabularies (categorization codes, classification numbers, index and thesaurus terms). So, necessarily, the number of metadata vocabularies that are accessible but unfamiliar for any individual searcher is increasing steeply. When an unfamiliar metadata vocabulary is encountered, how is a searcher to know which codes or terms will lead to what is wanted? This paper reports work at the University of California, Berkeley, on the design and development of English language indexes to metadata vocabularies. Further details and the current status of the work can be found at the project website http://www.sims.berkeley.edu/research/metadata/
  2. Furner, J.: Definitions of "metadata" : a brief survey of international standards (2020) 0.01 
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    Abstract
    A search on the term "metadata" in the International Organization for Standardization's Online Browsing Platform (ISO OBP) reveals that there are 96 separate ISO standards that provide definitions of the term. Between them, these standards supply 46 different definitions-a lack of standardization that we might not have expected, given the context. In fact, if we make creative use of Simpson's index of concentration (originally devised as a measure of ecological diversity) to measure the degree of standardization of definition in this case, we arrive at a value of 0.05, on a scale of zero to one. It is suggested, however, that the situation is not as problematic as it might seem: that low cross-domain levels of standardization of definition should not be cause for concern.
  3. Vorndran, A.; Grund, S.: Metadata sharing : how to transfer metadata information among work cluster members (2021) 0.01 
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    Abstract
    The German National Library (DNB) is using a clustering technique to aggregate works from the database Culturegraph. Culturegraph collects bibliographic metadata records from all German Regional Library Networks, the Austrian Library Network, and DNB. This stock of about 180 million records serves as the basis for work clustering-the attempt to assemble all manifestations of a work in one cluster. The results of this work clustering are not employed in the display of search results, as other similar approaches successfully do, but for transferring metadata elements among the cluster members. In this paper the transfer of content-descriptive metadata elements such as controlled and uncontrolled index terms and classifications and links to name records in the German Integrated Authority File (GND) are described. In this way, standardization and cross linking can be improved and the richness of metadata description can be enhanced.
  4. Roszkowski, M.; Lukas, C.: ¬A distributed architecture for resource discovery using metadata (1998) 0.01 
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    Abstract
    This article describes an approach for linking geographically distributed collections of metadata so that they are searchable as a single collection. We describe the infrastructure, which uses standard Internet protocols such as the Lightweight Directory Access Protocol (LDAP) and the Common Indexing Protocol (CIP), to distribute queries, return results, and exchange index information. We discuss the advantages of using linked collections of authoritative metadata as an alternative to using a keyword indexing search-engine for resource discovery. We examine other architectures that use metadata for resource discovery, such as Dienst/NCSTRL, the AHDS HTTP/Z39.50 Gateway, and the ROADS initiative. Finally, we discuss research issues and future directions of the project. The Internet Scout Project, which is funded by the National Science Foundation and is located in the Computer Sciences Department at the University of Wisconsin-Madison, is charged with assisting the higher education community in resource discovery on the Internet. To that end, the Scout Report and subsequent subject-specific Scout Reports were developed to guide the U.S. higher education community to research-quality resources. The Scout Report Signpost utilizes the content from the Scout Reports as the basis of a metadata collection. Signpost consists of more than 2000 cataloged Internet sites using established standards such as Library of Congress subject headings and abbreviated call letters, and emerging standards such as the Dublin Core (DC). This searchable and browseable collection is free and freely accessible, as are all of the Internet Scout Project's services.
    As well developed as both the Scout Reports and Signpost are, they cannot capture the wealth of high-quality content that is available on the Internet. An obvious next step toward increasing the usefulness of our own collection and its value to our customer base is to partner with other high-quality content providers who have developed similar collections and to develop a single, virtual collection. Project Isaac (working title) is the Internet Scout Project's latest resource discovery effort. Project Isaac involves the development of a research testbed that allows experimentation with protocols and algorithms for creating, maintaining, indexing and searching distributed collections of metadata. Project Isaac's infrastructure uses standard Internet protocols, such as the Lightweight Directory Access Protocol (LDAP) and the Common Indexing Protocol (CIP) to distribute queries, return results, and exchange index or centroid information. The overall goal is to support a single-search interface to geographically distributed and independently maintained metadata collections.
  5. Brugger, J.M.: Cataloging for digital libraries (1996) 0.01 
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    Source
    Cataloging and classification quarterly. 22(1996) nos.3/4, S.59-73
  6. Proffitt, M.: Pulling it all together : use of METS in RLG cultural materials service (2004) 0.01 
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    Source
    Library hi tech. 22(2004) no.1, S.65-68
  7. McCallum, S.H.: ¬An introduction to the Metadata Object Description Schema (MODS) (2004) 0.01 
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    Library hi tech. 22(2004) no.1, S.82-88
  8. Rogers, D.: Cataloguing Internet resources : the evolution of the Dublin Core metadata set (1997) 0.01 
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    Source
    Cataloguing Australia. 23(1997) nos.1/2, S.17-22
  9. Wusteman, J.: Whither HTML? (2004) 0.01 
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    Library hi tech. 22(2004) no.1, S.99-105
  10. Waugh, A.: Specifying metadata standards for metadata tool configuration (1998) 0.01 
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    Date
    1. 8.1996 22:08:06
  11. Gardner, T.; Iannella, R.: Architecture and software solutions (2000) 0.01 
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    Date
    22. 6.2002 19:38:24
  12. Peereboom, M.: DutchESS : Dutch Electronic Subject Service - a Dutch national collaborative effort (2000) 0.01 
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    Date
    22. 6.2002 19:39:23
  13. Gorman, M.: Metadata or cataloguing? : a false choice (1999) 0.01 
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    Source
    Journal of Internet cataloging. 2(1999) no.1, S.5-22
  14. Understanding metadata (2004) 0.01 
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    Date
    10. 9.2004 10:22:40
  15. Cundiff, M.V.: ¬An introduction to the Metadata Encoding and Transmission Standard (METS) (2004) 0.01 
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    Library hi tech. 22(2004) no.1, S.52-64
  16. Hill, J.S.: Analog people for digital dreams : staffing and educational considerations for cataloging and metadata professionals (2005) 0.01 
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    Date
    10. 9.2000 17:38:22
  17. El-Sherbini, M.: Metadata and the future of cataloging (2001) 0.01 
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    Date
    23. 1.2007 11:22:30
  18. White, H.: Examining scientific vocabulary : mapping controlled vocabularies with free text keywords (2013) 0.01 
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    Date
    29. 5.2015 19:09:22
  19. Alves dos Santos, E.; Mucheroni, M.L.: VIAF and OpenCitations : cooperative work as a strategy for information organization in the linked data era (2018) 0.01 
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    Date
    18. 1.2019 19:13:22
  20. Husevag, A.-S.R.: Named entities in indexing : a case study of TV subtitles and metadata records (2016) 0.01 
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    Abstract
    This paper explores the possible role of named entities in an automatic index-ing process, based on text in subtitles. This is done by analyzing entity types, name den-sity and name frequencies in subtitles and metadata records from different TV programs. The name density in metadata records is much higher than the name density in subtitles, and named entities with high frequencies in the subtitles are more likely to be mentioned in the metadata records. Personal names, geographical names and names of organizations where the most prominent entity types in both the news subtitles and news metadata, while persons, works and locations are the most prominent in culture programs.

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