scholarly journals Linguistic support of library IPS of the National Library of Ukraine named after Yaroslav the Wise: analysis of scientific and methodological activities of the applied unit

Author(s):  
Oleksandr Kyrylenko

The purpose of the article is to analyze traditional quantitative bibliometric indicators to assess theresults of scientific and methodological activities of the Department of Linguistic Support of InformationSearch Systems of the Yaroslav Mudryi National Library of Ukraine for 2017-2021, present quantitative andqualitative characteristics of this area of research. The methodological basis is centered the representationof scientific and methodological activities of the National Library is bibliometric analysis, which involves thestudy of basic statistical and bibliographic indicators of a particular area of rk with quantitative, qualitativedata, information analysis, and synthesis of semantic features of content and bibliographic data. The scientificnovelty consists in the complex bibliometric analysis of the scientific and methodical activity of the applieddepartment of the National Library and estimation of own potential and definition of prospects of developmentof this direction of activity of division. Conclusions. Solving applied problems of linguistic support of libraryinformation retrieval systems is accompanied by appropriate scientific and methodological activities. Byrepresenting the main object of study in bibliometric research is the dynamics of publishing activity in agiven period, the published works of specialists of the department were grouped by characteristics: authors,thematic sections, types of publications, periodicals, and more. One of the areas of bibliometric research wasthe separation of the total number of publications that are co-authored and created in collaboration withexperts from other institutions. In general, the material presented in the article allows identifying problematicaspects of scientific and methodological activities of the applied department of the library and promisingareas of development in the linguistic support of library information retrieval systems. The use of bibliometricanalysis techniques for certain areas of library work contributes to the improvement of management processesin applied areas of libraries.Keywords: library, information retrieval systems, linguistic support, scientific and methodical activity,bibliometric analysis.

2014 ◽  
Vol 49 ◽  
pp. 150-163
Author(s):  
Євгенія A. [IEvheniia A.] Карпіловська [Karpilovs’ka]

The role of terms-indirect nominations in the thesaurus of information retrieval system of the Slavic linguisticsThe article examines some of the problems of modern information retrieval systems in the Slavic studies, in particular, one of the most representative – Bibliographic Database World Slavonic Linguistics, created in the Institute of Slavic Studies of PAS under the leadership of Dr. Z. E. Rudnik-Karwatova. The author focuses on the ways to improve the linguistic support of such systems and increase the efficiency of image for information searching. They are connected with the study of the keywords in the annotations of scientific publications within database, as well as in the whole of modern Slavic linguistic terminology. This study enables us not only to select a comprehensive number of terms for each linguistic discipline, school, or problem, but also to determine their variability as well as their relationship with other terms of modern-­day Slavic linguistics. The result of such study should be information retrieval thesaurus of modern Slavic linguistic terminology.Special attention in the article is paid to the role of indirect nomination in modern Slavic linguistic terminology, system-organizing function of the terms with indirect semantics, resources and modes of their creating in different Slavonic languages, the correlation between indirect nomination and figurative one as well as the terms which indicate the place of object in some classifications (see Ukrainian середній рід) or gradual opposition (see Polish semileksem).


1967 ◽  
Vol 06 (02) ◽  
pp. 45-51 ◽  
Author(s):  
A. Kent ◽  
J. Belzer ◽  
M. Kuhfeerst ◽  
E. D. Dym ◽  
D. L. Shirey ◽  
...  

An experiment is described which attempts to derive quantitative indicators regarding the potential relevance predictability of the intermediate stimuli used to represent documents in information retrieval systems. In effect, since the decision to peruse an entire document is often predicated upon the examination of one »level of processing« of the document (e.g., the citation and/or abstract), it became interesting to analyze the properties of what constitutes »relevance«. However, prior to such an analysis, an even more elementary step had to be made, namely, to determine what portions of a document should be examined.An evaluation of the ability of intermediate response products (IRPs), functioning as cues to the information content of full documents, to predict the relevance determination that would be subsequently made on these documents by motivated users of information retrieval systems, was made under controlled experimental conditions. The hypothesis that there might be other intermediate response products (selected extracts from the document, i.e., first paragraph, last paragraph, and the combination of first and last paragraph), that would be as representative of the full document as the traditional IRPs (citation and abstract) was tested systematically. The results showed that:1. there is no significant difference among the several IRP treatment groups on the number of cue evaluations of relevancy which match the subsequent user relevancy decision on the document;2. first and last paragraph combinations have consistently predicted relevancy to a higher degree than the other IRPs;3. abstracts were undistinguished as predictors; and4. the apparent high predictability rating for citations was not substantive.Some of these results are quite different than would be expected from previous work with unmotivated subjects.


2005 ◽  
Vol 14 (5) ◽  
pp. 335-346
Author(s):  
Por Carlos Benito Amat ◽  
Por Carlos Benito Amat

Libri ◽  
2020 ◽  
Vol 70 (3) ◽  
pp. 227-237
Author(s):  
Mahdi Zeynali-Tazehkandi ◽  
Mohsen Nowkarizi

AbstractEvaluation of information retrieval systems is a fundamental topic in Library and Information Science. The aim of this paper is to connect the system-oriented and the user-oriented approaches to relevant philosophical schools. By reviewing the related literature, it was found that the evaluation of information retrieval systems is successful if it benefits from both system-oriented and user-oriented approaches (composite). The system-oriented approach is rooted in Parmenides’ philosophy of stability (immovable) which Plato accepts and attributes to the world of forms; the user-oriented approach is rooted in Heraclitus’ flux philosophy (motion) which Plato defers and attributes to the tangible world. Thus, using Plato’s theory is a comprehensive approach for recognizing the concept of relevance. The theoretical and philosophical foundations determine the type of research methods and techniques. Therefore, Plato’s dialectical method is an appropriate composite method for evaluating information retrieval systems.


1985 ◽  
Vol 8 (2) ◽  
pp. 253-267
Author(s):  
S.K.M. Wong ◽  
Wojciech Ziarko

In information retrieval, it is common to model index terms and documents as vectors in a suitably defined vector space. The main difficulty with this approach is that the explicit representation of term vectors is not known a priori. For this reason, the vector space model adopted by Salton for the SMART system treats the terms as a set of orthogonal vectors. In such a model it is often necessary to adopt a separate, corrective procedure to take into account the correlations between terms. In this paper, we propose a systematic method (the generalized vector space model) to compute term correlations directly from automatic indexing scheme. We also demonstrate how such correlations can be included with minimal modification in the existing vector based information retrieval systems.


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