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  • × author_ss:"Dunsire, G."
  1. Dunsire, G.; Nicholson, D.: Signposting the crossroads : terminology Web services and classification-based interoperability (2010) 0.04
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    Abstract
    The focus of this paper is the provision of terminology- and classification-based terminologies interoperability data via web services, initially using interoperability data based on the use of a Dewey Decimal Classification (DDC) spine, but with an aim to explore other possibilities in time, including the use of other spines. The High-Level Thesaurus Project (HILT) Phase IV developed pilot web services based on SRW/U, SOAP, and SKOS to deliver machine-readable terminology and crossterminology mappings data likely to be useful to information services wishing to enhance their subject search or browse services. It also developed an associated toolkit to help information services technical staff to embed HILT-related functionality within service interfaces. Several UK information services have created illustrative user interface enhancements using HILT functionality and these will demonstrate what is possible. HILT currently has the following subject schemes mounted and available: DDC, CAB, GCMD, HASSET, IPSV, LCSH, MeSH, NMR, SCAS, UNESCO, and AAT. It also has high level mappings between some of these schemes and DDC and some deeper pilot mappings available.
    Date
    6. 1.2011 19:22:48
  2. Dunsire, G.: Enhancing information services using machine-to-machine terminology services (2011) 0.03
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    Abstract
    This paper describes the basic concepts of terminology services and their role in information retrieval interfaces. Terminology services are consumed by other software applications using machine-to-machine protocols, rather than directly by end-users. An example of a terminology service is the pilot developed by the High Level Thesaurus (HILT) project which has successfully demonstrated its potential for enhancing subject retrieval in operational services. Examples of enhancements in three such services are given. The paper discusses the future development of terminology services in relation to the Semantic Web.
  3. Dunsire, G.; Willer, M.: Initiatives to make standard library metadata models and structures available to the Semantic Web (2010) 0.02
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    Abstract
    The paper discusses the importance of these initiatives in releasing as linked data the very large quantities of rich, professionally-generated metadata stored in formats based on these standards, such as UNIMARC and MARC21, addressing such issues as critical mass for semantic and statistical inferencing, integration with user- and machine-generated metadata, and authenticity, veracity and trust. The paper also discusses related initiatives to release controlled vocabularies, including the Dewey Decimal Classification (DDC), ISBD, Library of Congress Name Authority File (LCNAF), Library of Congress Subject Headings (LCSH), Rameau (French subject headings), Universal Decimal Classification (UDC), and the Virtual International Authority File (VIAF) as linked data. Finally, the paper discusses the potential collective impact of these initiatives on metadata workflows and management systems.
  4. Dunsire, G.: Digital decimals : Dewey and online libraries (2008) 0.01
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    Abstract
    The paper discusses practical methods of apply DDC to digital library services arising from recent technical developments. These include the use of DDC summaries to create hierarchical browsing and tag cloud interfaces, the utility of DDC as a switching language between different subject heading and classification schemes, and the development of terminology servers for interoperability with digital libraries. The focus is on services based in Europe.
  5. Vatant, B.; Dunsire, G.: Use case vocabulary merging (2010) 0.01
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    Abstract
    The publication of library legacy includes publication of structuring vocabularies such as thesauri, classifications, subject headings. Different sources use different vocabularies, different in structure, width, depth and scope, and languages. Federated access to distributed data collections is currently possible if they rely on the same vocabularies. Mapping techniques and standards supporting them (such as SKOS mapping properties, OWL sameAs and equivalentClass) are still largely experimental, even in the linked data land. Libraries use a variety of controlled subject vocabulary and classification schemes to index items in their collections. Although most collections will employ only a single scheme, different schemes may be chosen to index different collections within a library or in separate libraries; schemes are chosen on the basis of language, subject focus (general or specific), granularity (specificity), user expectation, and availability and support (cost, currency, completeness, tools). For example, a typical academic library will operate separate metadata systems for the library's main collections, special collections (e.g. manuscripts, archives, audiovisual), digital collections, and one or more institutional repositories for teaching and research output; each of these systems may employ a different subject vocabulary, with little or no interoperability between terms and concepts. Users expect to have a single point-of-search in resource discovery services focussed on their local institutional collections. Librarians have to use complex and expensive resource discovery platforms to meet user expectations. Library communities continue to develop resource discovery services for consortia with a geographical, subject, sector (public, academic, school, special libraries), and/or domain (libraries, archives, museums) focus. Services are based on distributed searching (e.g. via Z39.50) or metadata aggregations (e.g. OCLC's WorldCat and OAISter). As a result, the number of different subject schemes encountered in such services is increasing. Trans-national consortia (e.g. Europeana) add to the complexity of the environment by including subject vocabularies in multiple languages. Users expect single point-of-search in consortial resource discovery service involving multiple organisations and large-scale metadata aggregations. Users also expect to be able to search for subjects using their own language and terms in an unambiguous, contextualised manner.