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Abstract

The article provides definitions of alphabetization and related concepts and traces its historical development and challenges, covering analog as well as digital media. It introduces basic principles as well as standards, norms, and guidelines. The function of alphabetization is considered and related to alternatives such as systematic arrangement or classification.

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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.

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Abstract

This writeup presents the fundamentals of subject indexing in terms of its development, scope, coverage, role in subject indexing techniques and the important elements to design a well-structured and effective subject indexing process, requirements and the infrastructure. From the time of RDC to PRECIS, the developers has been envisaged the problems to expand the flexibility and versatility of indexing technique. Whenever one indexing process is failed to achieve the maximum efficiency another is developed on the basis of failure. It concludes that all the developments of subject indexing processes during that era are leads to the innovation of Artificial Intelligence technique (AI), i.e. Natural Language Processing (NLP) by implementation of Information and Communication Technology (ICT) in present time.

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Date

21.12.2018 18:22:12