Search (88 results, page 1 of 5)

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Abstract

The Electronic Text Center at the University of Virginia has been mounting SGML full-text databases on-line since 1992, and actively building a user community around this Internet resource. Conceiving of what we do as firmly a library operation, we have sought to integrate the electronic text databases into the training, cataloging, preservation, and collection development areas of our library. Central to our selection criteria is the desire for softwareand platform-independent textsif it's not SGML, it's ephermeraland central to our cataloging endeavors is on SGML bibliographic record such as the Text Encoding Initiative header.

Source

Cataloging and classification quarterly. 22(1996) nos.3/4, S.75-84

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Abstract

The paper summarizes the results of an on-line survey which was executed 2010 in german archives of all branches. The survey focused on metadata and used metadata standards for the annotation of audiovisual media like pictures, audio and video files (analog and digital). The findings motivate the question whether archives are able to collaborate in projects like europeana if they do not use accepted standards for their orientation. Archives need more resources and archival staff need more training to execute more complex tasks in an digital and semantic surrounding.

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Date

30. 3.2002 19:45:22

Source

Revista Española de Documentaçion Cientifica. 22(1999) no.2, S.198-219

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Date

16. 7.2000 20:58:22

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Source

Library hi tech. 22(2004) no.1

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Date

28. 3.2002 9:22:34

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Source

Library hi tech. 22(2004) no.1

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Source

Library hi tech. 22(2004) no.2

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Date

22. 9.2007 15:41:14

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Date

13. 1.2007 18:31:22

Source

Cataloging and classification quarterly. 22(1996) nos.3/4, S.43-58

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Date

9.12.2005 19:22:38

Source

Library hi tech. 22(2004) no.2, S.175-181

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Date

22. 5.1998 18:45:36

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Content

Bericht über den Workshop, der am 22. u. 23.6.98 in der SUB Göttingen stattfand

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Source

Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou

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Source

Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou

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Source

Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou

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Abstract

To Classify is (according to Webster's) "to distribute into classes; to arrange according to a system; to arrange in sets according to some method founded on common properties or characters." A model of classification is a type or category or (excuse the recursive definition) a class of classification "system" as mentioned in Webster's definition. One employs a classification model to implement a specific classification system. (E.g. we employ the hierarchical classification model to implement the Dewey Decimal System) An effective classification model must represent both the commonality (Webster's "common properties"), and also the differences among the items being classified. The commonality of each category or class defines a test to determine which items belong to the set that class represents. The relationships among the classes define the variability among the sets that the classification model can represent. Therefore, a classification model is more than an enumeration or other simple listing of the names of its classes. Our purpose in employing classification models is to build metadata systems that represent and manage knowledge, so that users of these systems we build can: quickly and accurately define (the commonality of) what knowledge they require, allowing the user great flexibility in how that desire is described; be presented existing information assets that best match the stated requirements; distinguish (the variability) among the candidates to determine their best choice(s), without actually having to examine the individual items themselves; retrieve the knowledge they need The MetaData model we present is Contextual Classification. It is a synthesis of several traditional metadata models, including controlled keyword indices, hierarchical classification, attribute value systems, Faceted Classification, and Evolutionary Faceted Classification. Research into building on line library systems of software and software documentation (Frakes and Pole, 19921 and Pole 19962) has shown the need and viability of combining the strengths, and minimizing the weaknesses of multiple metadata models in the development of information systems. The MetaData Object Manager (M.O.M.), a MetaData Warehouse (MDW) and editorial work flow system developed for the Thomson Financial Publishing Group, builds on this earlier research. From controlled keyword systems we borrow the idea of representing commonalties by defining formally defined subject areas or categories of information, which sets are represented by these categories names. From hierarchical classification, we borrow the concept of relating these categories and classes to each other to represent the variability in a collection of information sources. From attribute value we borrow the concept that each information source can be described in different ways, each in respect to the attribute of the information being described. From Faceted Classification we borrow the concept of relating the classes themselves into sets of classes, which a faceted classification system would describe as facets of terms. In this paper we will define the Contextual Classification model, comparing it to the traditional metadata models from which it has evolved. Using the MOM as an example, we will then discuss both the use of Contextual Classification is developing this system, and the organizational, performance and reliability

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Abstract

The Semantic Web activity is a W3C project whose goal is to enable a 'cooperative' Web where machines and humans can exchange electronic content that has clear-cut, unambiguous meaning. This vision is based on the automated sharing of metadata terms across Web applications. The declaration of schemas in metadata registries advance this vision by providing a common approach for the discovery, understanding, and exchange of semantics. However, many of the issues regarding registries are not clear, and ideas vary regarding their scope and purpose. Additionally, registry issues are often difficult to describe and comprehend without a working example. This article will explore the role of metadata registries and will describe three prototypes, written by the Dublin Core Metadata Initiative. The article will outline how the prototypes are being used to demonstrate and evaluate application scope, functional requirements, and technology solutions for metadata registries. Metadata schema registries are, in effect, databases of schemas that can trace an historical line back to shared data dictionaries and the registration process encouraged by the ISO/IEC 11179 community. New impetus for the development of registries has come with the development activities surrounding creation of the Semantic Web. The motivation for establishing registries arises from domain and standardization communities, and from the knowledge management community. Examples of current registry activity include:

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Source

Cataloging and classification quarterly. 22(1996) nos.3/4, S.59-73

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Source

Library hi tech. 22(2004) no.1, S.65-68