Search (11 results, page 1 of 1)

  • × theme_ss:"Verbale Doksprachen für präkombinierte Einträge"
  • × year_i:[2010 TO 2020}
  1. Viti, E.: My first ten years : nuovo soggettario growing, development and integration with other knowledge organization systems (2017) 0.00
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    Abstract
    The Nuovo Soggettario is a subject indexing system edited by the Biblioteca Nazionale Centrale di Firenze. It was presented to librarians from across Italy on 8 February 2007 in Florence as a new edition of the Soggettario (1956), and it has become the official Italian subject indexing tool. This system is made up of two individual and interactive components: the general thesaurus, accessible on the web since 2007 and the rules of a conventional syntax for the construction of subject strings. The Nuovo soggettario thesaurus has grown significantly in terms of terminology and connections with other knowledge organization tools (e.g., encyclopedias, dictionaries, resources of archives and museums, and other information data sets), offering the users the possibility to browse through documents, books, objects, photographs, etc. The conversion of the Nuovo soggettario thesaurus into formats suitable for the semantic web and linked data world improves its function as an interlinking hub for direct searching and for organizing content by different professional communities. Thanks to structured data and the SKOS format, the Nuovo soggettario thesaurus is published on the Data Hub platform, thus giving broad visibility to the BNCF and its precious patrimony.
    Content
    Beitrag eines Special Issue: ISKO-Italy: 8' Incontro ISKO Italia, Università di Bologna, 22 maggio 2017, Bologna, Italia.
    Language
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  2. Liu, Y.-H.; Wacholder, N.: Evaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchers (2017) 0.00
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    Abstract
    A commonly used technique for improving search engine performance is result caching. In result caching, precomputed results (e.g., URLs and snippets of best matching pages) of certain queries are stored in a fast-access storage. The future occurrences of a query whose results are already stored in the cache can be directly served by the result cache, eliminating the need to process the query using costly computing resources. Although other performance metrics are possible, the main performance metric for evaluating the success of a result cache is hit rate. In this work, we present a machine learning approach to improve the hit rate of a result cache by facilitating a large number of features extracted from search engine query logs. We then apply the proposed machine learning approach to static, dynamic, and static-dynamic caching. Compared to the previous methods in the literature, the proposed approach improves the hit rate of the result cache up to 0.66%, which corresponds to 9.60% of the potential room for improvement.
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  3. Sears' list of subject headings (2018) 0.00
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    Date
    21.12.2018 18:22:12
    Language
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  4. Satija, M.P.; Joo, S.; Jeong, E.-J.: ¬The 21st sdition (2014) of the Sears List of Subject Headings : a brief introduction (2015) 0.00
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  5. Holloway, S.W.: LCSH in the Southern Levant (2018) 0.00
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  6. Korwin, W.; Lund, H.: Alphabetization (2019) 0.00
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  7. Biswas, P.: Rooted in the past : use of "East Indians" in Library of Congress Subject Headings (2018) 0.00
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  8. Bone, C.; Lougheed, B.: Library of Congress Subject Headings related to indigenous peoples : changing LCSH for use in a Canadian archival context (2018) 0.00
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  9. Dutta, A.: ¬A journey from Cutter to Austin : critical analysis of their contribution in subject indexing (2017) 0.00
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  10. Yi, K.; Chan, L.M.: Revisiting the syntactical and structural analysis of Library of Congress Subject Headings for the digital environment (2010) 0.00
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  11. Sears' list of subject headings (2010) 0.00
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