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Published since 1998
ISSN 1562-5419
16+
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Methods and Algorithms for Increasing Linked Data Expressiveness (Overview)

Olga Avenirovna Nevzorova
808-834
Abstract: This review discusses methods and algorithms for increasing linked data expressiveness which are prepared for Web publication. The main approaches to the enrichment of ontologies are considered, the methods on which they are based and the tools for implementing the corresponding methods are described.The main stage in the general scheme of the related data life cycle in a cloud of Linked Open Data is the stage of building a set of related RDF- triples. To improve the classification of data and the analysis of their quality, various methods are used to increase the expressiveness of related data. The main ideas of these methods are concerned with the enrichment of existing ontologies (an expansion of the basic scheme of knowledge) by adding or improving terminological axioms. Enrichment methods are based on methods used in various fields, such as knowledge representation, machine learning, statistics, natural language processing, analysis of formal concepts, and game theory.
Keywords: linked data, ontology, ontology enrichment, semantic web.

Digital Libraries Scientometric Services Based on Scientific Classification Systems

М.Р. Когаловский, С.И. Паринов
Abstract: Some scientific digital libraries provide scientometric services which collect different statistics including numbers of viewing and downloads over its content, etc. Sometimes statistics about publications are aggregated for its authors and at the next step for organizations of authors' affiliation. In this paper we present a scientometric service that makes an aggregation of publications' statistics for codes of scientific classification systems (rubricator) included in the publications metadata. This application works as a part of the Socionet Statistic system.
Keywords: Digital Library, Scientometrics, Scientific Classification System, Socionet System, Scientometric Service, Subject Request, GRNTI, JEL.

Russian e-journals – new stage of development, integration problems

В.Г. Веселаго, А.М. Елизаров, О.В. Сюнтюренко
Abstract: Описаны направления российских исследований и разработок в области научных электронных журналов. Приведены статистические материалы, характеризующие работу нескольких наиболее успешно функционирующих электронных журналов за все время их существования, в том числе распределение статей по тематике, и статистика запросов на материалы журналов. Сделана попытка ответа на вопрос, кто является типичным автором полностью электронных журналов.
Обсуждены вопросы сохранения целостности материалов журналов и их архивации, организации всей технологической цепочки «автор – редакция – рецензент – редакция – сайт», сохранения авторских прав, официальной регистрации журналов и некоторые другие юридические проблемы.
Сделан краткий обзор существующих в России полностью электронных научных журналов, указаны их особенности, приведена сравнительная классификация. Уделено внимание способам разметки и поисковым системам.
Представлены основные результаты по созданию и реализации технологии автоматизированной обработки и включения в соответствующие базы данных (в частности, в базу данных Научной электронной библиотеки) электронных научных журналов с учетом имеющихся стандартов и рекомендаций, достигнутые при поддержке Российского фонда фундаментальных исследований в рамках проекта 03-07-90252.

Analytical Statistics about Scientific Publications of the Kazan Federal University on Scilit

Alexey Viktorovich Ermakov
878-896
Abstract:

The paper examines issues related to the presentation of information about publications of KFU researchers, teachers, graduate students and students, as well as about the University’s scientific sources in information and analytical materials of the Scilit system. Specific examples show the advantage of complete and correct setting of metadata for scientific publications, as well as the problems that arise when handling bibliographic information carelessly.

Keywords: analytical statistics, bibliographic databases, publication metadata, Scilit.

Some Bibliographic References Tools

Alexey Viktorovich Ermakov
88-100
Abstract:

The rapid quantitative growth of scientific publications has pushed the development of various Internet tools for finding the necessary information. Statistics on its study and use (citation) are no less important than the search for the necessary information. This article discusses the citation support tools provided by Google Academy, Crossref, and other developers. In the Russian Federation, NEICON (a national consortium of Russian educational, scientific, and cultural organizations) provides technical and methodological support for working with DOI and other Crossref services. The article shows how the considered tools are built into the user interfaces of the IPM electronic library. Additional features provided by the specified tools are considered.

Keywords: e-library, bibliographic link, toolbox.
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Russian Digital Libraries Journal

ISSN 1562-5419

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