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Recommender system of physical and mathematical documents classification

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dc.date.accessioned 2019-01-22T20:46:28Z
dc.date.available 2019-01-22T20:46:28Z
dc.date.issued 2018
dc.identifier.issn 1613-0073
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/148705
dc.description.abstract © 2018 CEUR-WS. All rights reserved. The problems of increasing the value of scientific classifiers for the systematization of scientific information in the digital age are discussed, for example, the classification of documents (assignment of indices-classifiers) is a traditional way of systematization of knowledge and information search. In this paper we propose a recommendation system for automated selection of Universal decimal classification (UDC) indices for physical and mathematical documents. This system implements one of the services of the digital mathematical library Lobachevskii-DML. The proposed algorithm is based on the use of terms extracted from the title, the list of keywords and annotations given in the analyzed documents. Extraction of terms from the documents of the collection is carried out with the help of software tools developed by us, taking into account the stylistic features of the documents and the positions in the text of the required terms. The data obtained were included in a dictionary that has an inverted index structure. The generated dictionary contains both classification features and sets of key terms, which are used to systematize and classify the material. Most of these terms were obtained by automated processing of the collection of archives of physical and mathematical publications of the All-Russian mathematical portal Math-Net.Ru. The proposed variant of the semantic markup of a table of indices of the Universal decimal classification. The model of classification of scientific documents is described.
dc.relation.ispartofseries CEUR Workshop Proceedings
dc.subject Classification system
dc.subject Information extraction
dc.subject Recommender system
dc.subject Scientific information classifiers
dc.subject Systematization of scientific information
dc.subject UDC
dc.title Recommender system of physical and mathematical documents classification
dc.type Conference Paper
dc.relation.ispartofseries-volume 2260
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 480
dc.source.id SCOPUS16130073-2018-2260-SID85058156687


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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