Search (5 results, page 1 of 1)

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Abstract

Strategies for sharing, managing and accessing cultural heritage information centred around objects, images and related data are being tested currently through a variety of initiatives and resources. These fall into 3 categories: data sharing projects; image data banks; and rights management. Describes 2 data sharing projects, the Research Libraries Group' REACH and VISIION projects, focusing on core categories, standards and interoperability, metadata, and what might be accomplished through REACH and VISIION

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Abstract

Twenty years of experience with computers in museums has led from the original 'purely scientific' objectives to a more down-to-earth approach aimed at rationalizing repetitive procedures. Dealing with fragmentary or unclean data is of primary concern. In the 'small museums' project useful techniques from the field of thesaurus applications are customized in daily practice for this purpose

Source

Classification, data analysis, and knowledge organization: models and methods with applications. Proc. of the 14th annual conf. of the Gesellschaft für Klassifikation, Univ. of Marburg, 12.-14.3.1990. Ed.: H.-H. Bock u. P. Ihm

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Abstract

This article begins by presenting and discussing the distinction between record-oriented and pattern-oriented search. Examples or recordoriented (or item-oriented) questions include: "What (or how many, etc.) glass items made prior to 100 A.D. do we have in our collection?" and "How many paintings featuring dogs do we have that were painted during the 19th century, and who painted them?" Standard database systems are well suited to answering such questions, based on the data in, for example, a collections management system. Examples of pattern-oriented questions include: "How does the (apparent) productoin of glass objects vary over time between 400 B.C. and 100 A.D.?" and "What other animals are present in paintings with dogs (painted during the 19th century and in our collection)?" Standard database systems are not well suited to answering these sorts of questions, even though the basic data is properly stored in them. To answer pattern-oriented questions it is the accepted solution to transform the underlying (relational) data to what is called the data cube or cross tabulation form. We discuss how this can be done for non-numeric data, such as are found in museum collections and archives

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Abstract

The entry provides an overview of the data content standard, Cataloging Cultural Objects (CCO), developed by the Visual Resources Association (VRA), and published in 2006 by the American Library Association (ALA). CCO fills a gap in the array of descriptive standards by providing guidelines for visual resources curators, museum documentation specialists, archivists, librarians, or anyone engaged in the documentation of works of art and architecture, objects of material culture, and their images. The entry begins by placing CCO within the context of object and visual image cataloging and the broader framework of data content standards. Following the organization of the guide, which is divided into three parts, General Guidelines, Elements, and Authorities, it summarizes the main features of CCO. Finally, it evaluates CCO in terms of its suitability for use by the metadata communities that form its intended audience, and its sustainability.

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Abstract

Ellender Memorial Library at Nicholls State University, Louisiana has a slide collection including 10,000 slides in 60 sets devoted to art. Describes how the cataloguer solved the problem of entering sufficiently detailed records of this part of the collection on the OPAC of a small college library, using the OCLC authority file for artists' names and NUTPLUS which offers access via any combination of 15 data elements including e.g., aspects of the subject, call and item numbers and location of the works of art. NUTPLUS is now available in a new version, called Ultra-Plus Advanced, from Fairhaven Software of Stoughton, Massachusetts