Abstract
Annotation. An overview of the design and development features of the Virtual Library information system was conducted. A new approach is proposed for designing and developing the Virtual Library information system for saving and development of e-books in the MARC 21 format. The model of information system Virtual Library is proposed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gonçalves, M.A., Fox, E.A., Watson, L.T., Kipp, N.A.: Streams, structures, spaces, scenarios, societies (5S): a formal model for digital libraries. ACM Trans. Inf. Syst. (TOIS) 22(2), 270–312 (2004)
Gonçalves, M.A.: Streams, structures, spaces, scenarios, and societies (5S): a formal model for digital library framework and its applications. Ph.D. thesis, Virginia Polytechnic Institute and State University (2004)
Pérez, A., Enrech, M.: Defining library services for a virtual community. In: Libraries Without Walls Conference, Lesvos, Grecia, Centre for research in Library and Information Management (1999)
Pérez, A., Enrech, M.: Virtual library services for a virtual university: user-oriented virtual sites in an open library. In: EADTU, Paris (1999)
Stoffle, C.J.: The emergence of education and knowledge management as major functions of the digital library. http://www.ukoln.ac.uk/services/papers/follett/stoffle/paper.html
Lytvyn, V., Vysotska, V., Chyrun, L., Chyrun, L.: Distance learning method for modern youth promotion and involvement in independent scientific researches. In: Proceedings of the IEEE First International. Conference on Data Stream Mining & Processing (DSMP), pp. 269–274 (2016)
Rashkevych, Y., Peleshko, D., Vynokurova, O., Izonin, I., Lotoshynska, N.: Single-frame image super-resolution based on singular square matrix operator. In: IEEE 1st Ukraine Conference on Electrical and Computer Engineering (UKRCON), pp. 944–948 (2017)
Tkachenko, R., Tkachenko, P., Izonin, I., Tsymbal, Y.: Learning-based image scaling using neural-like structure of geometric transformation paradigm. In: Studies in Computational Intelligence, vol. 730, pp. 537–565 (2018)
Maksymiv, O., Rak, T., Peleshko, D.: Video-based flame detection using LBP-based descriptor: influences of classifiers variety on detection efficiency. Int. J. Intell. Syst. Appl. 9(2), 42–48 (2017)
Peleshko, D., Rak, T., Izonin, I.: Image superresolution via divergence matrix and automatic detection of crossover. Int. J. Intell. Syst. Appl. 8(12), 1–8 (2016)
Chernukha, O., Bilushchak, Y.: Mathematical modeling of random concentration field and its second moments in a semispace with Erlangian distribution of layered inclusions. Task Q. 20(3), 295–334 (2016)
Rusyn, B., Lutsyk, O., Lysak, Y., Lukeniuk, A., Pohreliuk, L.: Lossless image compression in the remote sensing applications. In: Proceedings of the IEEE First International Conference on Data Stream Mining & Processing (DSMP), pp. 195–198 (2016)
Kowalik, D.: Polish vocational competence standards for the needs of adult education and the European labour market. In: International Conference on Advanced Information Engineering and Education Science ICAEES, pp. 95–98 (2013)
Zhezhnych, P., Markiv, O.: Linguistic comparison quality evaluation of web-site content with tourism documentation objects. In: Advances in Intelligent Systems and Computing, vol. 689, pp. 656–667 (2018)
Mobasher, B.: Data mining for web personalization. In: The Adaptive Web, pp. 90–135 (2007)
Dinucă, C.E., Ciobanu, D.: Web content mining. University of Petroşani, Economics 85 (2012)
Xu, G., Zhang, Y., Li, L.: Web content mining. In: Web Mining and Social Networking, pp. 71–87 (2011)
Jivani, A.G.: A comparative study of stemming algorithms. Int. J. Comput. Technol. Appl. 6, 1930–1938 (2011)
Vysotska, V.: Linguistic analysis of textual commercial content for information resources processing. In: Modern Problems of Radio Engineering, Telecommunications and Computer Science TCSET 2016, pp. 709–713 (2016)
Lytvyn, V., Vysotska, V., Pukach, P., Brodyak, O., Ugryn, D.: Development of a method for determining the keywords in the slavic language texts based on the technology of web mining. East. Eur. J. Enterp. Technol. 2/2(86), 4–12 (2017)
Davydov, M., Lozynska, O.: Linguistic models of assistive computer technologies for cognition and communication. In: 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, pp. 171–175 (2017)
Khomytska, I., Teslyuk, V.: The method of statistical analysis of the scientific, colloquial, belles-lettres and newspaper styles on the phonological level. In: Advances in Intelligent Systems and Computing, vol. 512, pp. 149–163 (2017)
Khomytska, I., Teslyuk, V.: Specifics of phonostatistical structure of the scientific style in English style system. In: XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT), Lviv, pp. 129–131 (2016)
Shakhovska, N., Vysotska, V., Chyrun, L.: Features of E-learning realization using virtual research laboratory. In: XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT), Lviv, pp. 143–148 (2016)
Shakhovska, N., Medykovsky, M., Stakhiv, P.: Application of algorithms of classification for uncertainty reduction. Przeglad Elektrotechniczny 89(4), 284–286 (2013)
Schahovska, N., Syerov, Y.: Web-community ontological representation using intelligent dataspace analyzing agent. In: 10th International Conference the Experience of Designing and Application of CAD Systems in Microelectronics, CADSM 2009, pp. 479–480 (2009)
Shakhovska, N., Vovk, O., Hasko, R., Kryvenchuk, Y.: The method of Big Data processing for distance educational system. In: Conference on Computer Science and Information Technologies, pp. 461–473. Springer, Cham (2017)
Shakhovska, N., Vovk, O., Kryvenchuk, Y.: Uncertainty reduction in Big Data catalogue for information product quality evaluation. East. Eur. J. Enterp. Technol. 1(2), 12–20 (2018)
Davydov, M., Lozynska, O.: Mathematical method of translation into Ukrainian sign language based on ontologies. In: Advances in Intelligent Systems and Computing, vol. 689, pp. 89–100 (2018)
Davydov, M., Lozynska, O.: Information system for translation into Ukrainian sign language on mobile devices. In: 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, pp. 48–51 (2017)
Kut, V., Kunanets, N., Pasichnik, V., Tomashevskyi, V.: The procedures for the selection of knowledge representation methods in the “virtual university” distance learning system. In: Advances in Intelligent Systems and Computing, pp. 713–723 (2018)
Veretennikova, N., Kunanets, N.: Recommendation systems as an information and technology tool for virtual research teams. In: Advances in Intelligent Systems and Computing, vol. 689, pp. 577–587 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Rusyn, B., Lytvyn, V., Vysotska, V., Emmerich, M., Pohreliuk, L. (2019). The Virtual Library System Design and Development. In: Shakhovska, N., Medykovskyy, M. (eds) Advances in Intelligent Systems and Computing III. CSIT 2018. Advances in Intelligent Systems and Computing, vol 871. Springer, Cham. https://doi.org/10.1007/978-3-030-01069-0_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-01069-0_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01068-3
Online ISBN: 978-3-030-01069-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)