Methods of information resources processing in virtual library

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dc.citation.epage39
dc.citation.spage28
dc.contributor.affiliationKazimierz Pulaski University of Technology and Humanities in Radom, Poland
dc.contributor.affiliationLviv Polytechnic National University, Lviv, Ukraine
dc.contributor.affiliationKarpenko Physico-Mechanical Institute of the NAS Ukraine
dc.contributor.authorRusyn, Bohdan
dc.contributor.authorVysotska, Victoria
dc.contributor.authorPohreliuk, Liubomyr
dc.coverage.placenameLviv
dc.coverage.temporal25-27 June 2018
dc.date.accessioned2018-09-03T11:41:15Z
dc.date.available2018-09-03T11:41:15Z
dc.date.created2018-06-25
dc.date.issued2018-06-25
dc.description.abstractThe thesis discusses the development of unified methods and software tools for processing information resources in Virtual Library as example the electronic content commerce systems (ECCS). A model of Virtual Library Systems (VLS) is proposed. The models of information resource processing in ECCS are proposed. Architecture and models of VLS are built. A new approach to application and implementation of business processes is formulated for the construction of VLS. A complex method of content creation, the operational method of content management and complex method of content support are developed. Design and implementation methods of VLS are based on online newspapers, which reflect the results of theoretical research, are developed. From the perspective of a systemic approach, the principles of applying information resources processing in electronic content commerce systems for content lifecycle implementation made the development of methods for the content formation, management and support possible. An integrated method of content formation for the time and resources reduction of content production is developed. A method of content management for the time and resources reduction of content sales was created, which makes it possible to implement content management subsystem. A method of content support for the time and resource reduction of the target audience analysis in VLS is implemented, which makes it possible to develop a content support subsystem.
dc.format.extent28-39
dc.format.pages12
dc.identifier.citationRusyn B. Methods of information resources processing in virtual library / Bohdan Rusyn, Victoria Vysotska, Liubomyr Pohreliuk // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 28–39. — (Part 1. Keynote speakers talks).
dc.identifier.citationenRusyn B. Methods of information resources processing in virtual library / Bohdan Rusyn, Victoria Vysotska, Liubomyr Pohreliuk // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 28–39. — (Part 1. Keynote speakers talks).
dc.identifier.issn2523-4013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/42569
dc.language.isoen
dc.publisherLviv Polytechnic National University
dc.relation.ispartofComputational linguistics and intelligent systems (2), 2018
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dc.relation.references41. Didusov, V., Kochueva, Z.: Statistical methods usage of descriptive statistics in corpus linguistic. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 125–126 (2017)
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dc.relation.referencesen1. Vysotska, V., Chyrun, L., Lytvyn, V., Methods based on ontologies for information resources processing. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2016).
dc.relation.referencesen2. Vysotska, V., Tekhnolohiyi elektronnoyi komertsiyi ta Internet-marketynhu. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
dc.relation.referencesen3. CM Lifecycle Poster, Content Management Professionals, Access:http://www.cmprosold.org/resources/poster/ (2010)
dc.relation.referencesen4. Content Management Interoperability Services, Version V. 0.5, Hopkinton: EMC (2008)
dc.relation.referencesen5. Vysotska, V., Lytvyn, V., Web resources processing based on ontologies. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
dc.relation.referencesen6. Vysotska, V., Shakhovska, N., Information technologies of gamification for training and recruitment. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
dc.relation.referencesen7. Vysotska, V., Internet systems design and development based on Web Mining and NLP. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
dc.relation.referencesen8. Hackos, J., Content Management for Dynamic Web Delivery. Hoboken: Wiley (2002)
dc.relation.referencesen9. Halvorson, K., Content Strategy for the Web. Reading: New Riders Press (2009)
dc.relation.referencesen10. Lande, D., Andrushchenko, V., Balagura, I., An index of authors’ popularity for Internet encyclopedia. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 47–55 (2017)
dc.relation.referencesen11. Lande, D., Creation of subject domain models on the basis of monitoring of network information resources. In: 1st Inter. Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wp-content/uploads/2017/04/Lande.pdf (2017)
dc.relation.referencesen12. McGovern, G., Norton, R., Content Critical. Upper Saddle River: FT Press (2001)
dc.relation.referencesen13. McKeever, S., Understanding Web content management systems: evolution, lifecycle and market. In: Industrial Management & Data Systems (MCB UP), 103(9), 686–692 (2003)
dc.relation.referencesen14. Nakano, R., Web content management: a collaborative approach. Boston: Addison Wesley Prof. (2002)
dc.relation.referencesen15. Papka, R., On-line News Event Detection, Clustering, and Tracking: thesis for the degree doctor of philosophy. Amherst: Massachusetts University (1999)
dc.relation.referencesen16. Vysotska, V., Computer linguistics for online marketing in information technology : Monograph. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
dc.relation.referencesen17. Rockley, A., Managing Enterprise Content: A Unified Content Strategy. New Riders Press (2002)
dc.relation.referencesen18. Stone, W. Plagiarism, Duplicate Publication and Duplicate Submission: They Are All Wrong! In: IEEE Antennas and Propagation, 45(4) 47-49 (2003)
dc.relation.referencesen19. Lytvyn, V., Vysotska, V., Chyrun, L., Smolarz, A., Naum O., Intelligent System Structure for Web Resources Processing and Analysis. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 56-74 (2017)
dc.relation.referencesen20. Lytvyn, V., Vysotska, V., Wojcik, W., Dosyn, D., A Method of Construction of Automated Basic Ontology. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 75-83 (2017)
dc.relation.referencesen21. The Content Management Possibilities Poster. http://metatorial.com/pagea.asp?id=poster.
dc.relation.referencesen22. Lytvynenko, V., Lurie, I., Radetska, S., Voronenko, M., Kornilovska, N., Partenjucha, D., Content analysis of some social media of the occupied territories of Ukraine. In: 1st Inter. Conference Computational Linguistics and Intelligent Systems, COLINS, 84–94 (2017)
dc.relation.referencesen23. Shepelev, G., Khairova, N., Methods of comparing interval objects in intelligent computer systems. . In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 100–109 (2017)
dc.relation.referencesen24. Orobinska, O., Chauchat, J.-H., Sharonova, N., Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security). In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 95–99 (2017)
dc.relation.referencesen25. Hamon, T., Grabar, N., Unsupervised acquisition of morphological resources for Ukrainian. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 20–30 (2017)
dc.relation.referencesen26. Grabar, N., Hamon, T., Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 10–19 (2017)
dc.relation.referencesen27. Hamon, T., Biomedical text mining. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/2017COLINS-THAMON-keynote.pdf (2017)
dc.relation.referencesen28. Protsenko, Y., Intuition on modern deep learning approaches in computer vision. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wp-content/uploads/2017/04/protsenko.pdf (2017)
dc.relation.referencesen29. Kolbasin, V., AI trends, or brief highlights of NIPS 2016. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/CoLlnS_TuS.pdf (2017)
dc.relation.referencesen30. Kersten, W., The Digital Transformation of the Industry – the Logistics Example. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wp-content/uploads/2017/04/CoLlnS_TuS.pdf (2017)
dc.relation.referencesen31. Shalimov, V., Big Data – Revolution in Data Storage and Processing. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wp-content/uploads/2017/04/BigData_eng.pdf (2017)
dc.relation.referencesen32. Hnot, T., Qualitative content analysis: expertise and case study. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wp-content/uploads/2017/04/Qualitative-content-analysis_expertise-andcase- study.pdf (2017)
dc.relation.referencesen33. Romanyshyn, M., Grammatical Error Correction: why commas matter. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wp-content/uploads/2017/04/Grammatical-Error-Correction-whycommas- matter.pdf. (2017)
dc.relation.referencesen34. Yukhno, K., Chubar, E., Gamification: today and tomorrow. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 139–140 (2017)
dc.relation.referencesen35. Pidpruzhnikov, V., Ilchenko, M., Search optimization and localization of the website of Department of Applied Linguistics. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 137–138 (2017)
dc.relation.referencesen36. Olifenko, I., Borysova, N., Analysis of existing German Corpora. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 135–136 (2017)
dc.relation.referencesen37. Kolesnik, A., Khairova, N., Use of linguistic criteria for estimating of wikipedia articles quality. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 133–134 (2017)
dc.relation.referencesen38. Kirkin, S., Melnyk, K., Intelligent data processing in creating targeted advertising. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 131–132 (2017)
dc.relation.referencesen39. Hordienko, H., Ilchenko, M., Development and computerization of an English term system in the fields of drilling and drilling rigs. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 129–130 (2017)
dc.relation.referencesen40. Gorbachov, V., Cherednichenko, O., Improving communication in enterprise solutions: challenges and opportunities. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 127–128 (2017)
dc.relation.referencesen41. Didusov, V., Kochueva, Z., Statistical methods usage of descriptive statistics in corpus linguistic. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 125–126 (2017)
dc.relation.referencesen42. Verbinenko, Yu., Discursive units in scientific texts. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 120–123 (2017)
dc.relation.referencesen43. Titova, V., Gnatchuk, I., Evaluation ofa formalized model for classification of emergency situations. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 110–119 (2017)
dc.relation.referencesen44. Kotov, M., NLP resources for a rare language morphological analyzer: danish case. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 31–36 (2017)
dc.relation.referencesen45. Kuprianov, Ye., Semantic state superpositions and their treatment in virtual lexicographic laboratory for spanish language dictionary. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 37–46 (2017)
dc.relation.urihttp://www.cmprosold.org/resources/poster/
dc.relation.urihttp://colins.in.ua/wp-content/uploads/2017/04/Lande.pdf
dc.relation.urihttp://metatorial.com/pagea.asp?id=poster
dc.relation.urihttp://colins.in.ua/wpcontent/
dc.relation.urihttp://colins.in.ua/wp-content/uploads/2017/04/protsenko.pdf
dc.relation.urihttp://colins.in.ua/wp-content/uploads/2017/04/CoLlnS_TuS.pdf
dc.relation.urihttp://colins.in.ua/wp-content/uploads/2017/04/BigData_eng.pdf
dc.relation.urihttp://colins.in.ua/wp-content/uploads/2017/04/Qualitative-content-analysis_expertise-andcase-
dc.relation.urihttp://colins.in.ua/wp-content/uploads/2017/04/Grammatical-Error-Correction-whycommas-
dc.rights.holder© 2018 for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.
dc.subjectcontent
dc.subjectcommercial content
dc.subjectinformation resource
dc.subjectbusinessprocess
dc.subjectcontent management system
dc.subjectcontent lifecycle
dc.subjectInternetnewspaper
dc.subjectelectronic content commerce system
dc.subjectVirtual Library
dc.titleMethods of information resources processing in virtual library
dc.typeConference Abstract

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