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Home >> Journals List >> D-Lib Magazine >> A Common Model to Support Interoperable Metadata : Progress report on reconciling metadata requirements from the Dublin Core and INDECS/DOI Communities

A Common Model to Support Interoperable Metadata : Progress report on reconciling metadata requirements from the Dublin Core and INDECS/DOI Communities

David Bearman
    dbear@archimuse.com
    (Archives & Museum Informatics)
 
Eric Miller
    emiller@oclc.org
    (OCLC Online Computer Library Center, Inc.)
 
Godfrey Rust
    godfreyrust@dds.netkonect.co.uk
    (Data Definitions)
 
Jennifer Trant
    jtrant@amico.net
    (Art Museum Image Consortium)
 
Stuart Weibel
    weibel@oclc.org
    (OCLC Online Computer Library Center, Inc.)
 

 

D-Lib Magazine ( web site)
(ReLIS:doi:dlibma:v:5:y:1999:i:1:p:2272)

Abstract:

The Dublin Core metadata community and the INDECS/DOI community of authors, rights holders, and publishers are seeking common ground in the expression of metadata for information resources. Recent meetings at the 6th Dublin Core Workshop in Washington DC sketched out common models for semantics (informed by the requirements articulated in the IFLA Functional Requirements for the Bibliographic Record) and conventions for knowledge representation (based on the Resource Description Framework under development by the W3C). Further development of detailed requirements is planned by both communities in the coming months with the aim of fully representing the metadata needs of each. An open "Schema Harmonization" working group has been established to identify a common framework to support interoperability among these communities. The present document represents a starting point identifying historical developments and common requirements of these perspectives on metadata and charts a path for harmonizing their respective conceptual models. It is hoped that collaboration over the coming year will result in agreed semantic and syntactic conventions that will support a high degree of interoperability among these communities, ideally expressed in a single data model and using common, standard tools.


Month: January 1999

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