Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://ena.lp.edu.ua:8080/handle/ntb/42558
Назва: The information system for identification of content set based on analysis of similar texts
Автори: Kovalchuk, Viktoriia
Lytvyn, Vasyl
Vysotska, Victoria
Hrendus, Mariya
Naum, Oleh
Приналежність: Lviv Polytechnic National University, Lviv, Ukraine
Silesian University of Technologyty, Gliwice, Poland
Drohobych Ivan Franko State Pedagogical University, Drohobych, Ukraine
Бібліографічний опис: The information system for identification of content set based on analysis of similar texts / Viktoriia Kovalchuk, Vasyl Lytvyn, Victoria Vysotska, Mariya Hrendus, Oleh Naum // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 122–127. — (Part 2. Workshop conference tracks. Section I. Computational Linguistics).
Bibliographic description: The information system for identification of content set based on analysis of similar texts / Viktoriia Kovalchuk, Vasyl Lytvyn, Victoria Vysotska, Mariya Hrendus, Oleh Naum // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 122–127. — (Part 2. Workshop conference tracks. Section I. Computational Linguistics).
Є частиною видання: Computational linguistics and intelligent systems (2), 2018
Дата публікації: 25-чер-2018
Видавництво: Lviv Polytechnic National University
Місце видання, проведення: Lviv
Часове охоплення: 25-27 June 2018
Теми: semantic
semantic search
text search
information search
ontology
information
e-library
electronic library
semantic electronic library
text analysis
search
Кількість сторінок: 6
Діапазон сторінок: 122-127
Початкова сторінка: 122
Кінцева сторінка: 127
Короткий огляд (реферат): Information search is one of the most dynamic areas in terms of development and search for new algorithms for solving this problem. Nowadays a large number of search engines, which work with artistic composition, have been developed, but most of them are oriented only on conducting the work with metadata. In addition, effective methods of analysis of the subject of the text have been used, as well as identification of works after it is considered. Different ways of searching and problems of implementation of an ontologically flexible semantic search are considered. An information system for the identification of a plurality of content has been developed based on a thematic analysis of similar texts.
URI (Уніфікований ідентифікатор ресурсу): http://ena.lp.edu.ua:8080/handle/ntb/42558
ISSN: 2523-4013
Власник авторського права: © 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.
URL-посилання пов’язаного матеріалу: http://colins.in.ua/wpcontent/
http://colins.in.ua/wp-content/uploads/2017/04/Lande.pdf
http://colins.in.ua/wp-content/uploads/2017/04/protsenko.pdf
http://colins.in.ua/wp-content/uploads/2017/04/CoLlnS_TuS.pdf
http://colins.in.ua/wp-content/uploads/2017/04/BigData_eng.pdf
Перелік літератури: 1. Alahmari, F., Magee, L.: Linked Data and Entity Search: A Brief History and Some Ways Ahead. Proceedings of the 3rd Australasian Web Conference (2015)
2. Bontcheva, K., Tablan, V., Cunningham, H.: Semantic search over documents and ontologies. Bridging Between Information Retrieval and Databases, Springer (2014)
3. Taylor, William P.: A comparative study on ontology generation and text clustering using VSM, LSI, and document ontology models. Clemson University (2007)
4. Giannopoulos, G.: A tool for semantic annotation and search. In: The Semantic Web: Research and Applications, Springer Berlin Heidelberg, 376-380 (2010)
5. Berlanga, R., Nebot ,V., Pérez, M.: Tailored semantic annotation for semantic search .Web Semantics: Science, Services and Agents on the World Wide Web, 69-81 (2015)
6. Saša, Neši: Semantic Document Architecture for Desktop Data Integration and Management: Doctoral Dissertation (2010)
7. Hotho, A., Staab, S., Stumme, G.: Wordnet improves Text Document Clustering. In: Proc. of the SIGIR 2003 Semantic Web Workshop, 541–544 (2003)
8. Vysotska, V., Chyrun, L., Lytvyn, V.: Methods based on ontologies for information resources processing. Germany: LAP LAMBERT Academic Publishing (2016).
9. Vysotska, V.: Tekhnolohiyi elektronnoyi komertsiyi ta Internet-marketynhu. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
10. Vysotska, V., Lytvyn, V.: Web resources processing based on ontologies. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
11. Vysotska, V., Shakhovska, N.: Information technologies of gamification for training and recruitment. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
12. Vysotska, V.: Internet systems design and development based on Web Mining and NLP. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
13. Vysotska, V.: Computer linguistics for online marketing in information technology : Monograph. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
14. 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)
15. 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)
16. 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.l Conference Computational Linguistics and Intelligent Systems, COLINS, 84–94 (2017)
17. 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)
18. Orobinska, O., Chauchat, J.-H., Sharonova, N.: Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security). In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, 95–99 (2017)
19. Hamon, T., Grabar, N.: Unsupervised acquisition of morphological resources for Ukrainian. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 20–30 (2017)
20. 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)
21. 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)
22. 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)
23. 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)
24. 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)
25. 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)
26. 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)
27. 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)
28. Hnot, T.: Qualitative content analysis: expertise and case study. In: 1st Inter. Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/Qualitative-content-analysis_expertise-and-case-study.pdf (2017)
29. Romanyshyn, M.: Grammatical Error Correction: why commas matter. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/Grammatical-Error-Correction-why-commas-matter.pdf. (2017)
30. Yukhno, K., Chubar, E.: Gamification: today and tomorrow. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 139–140 (2017)
31. 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)
32. Olifenko, I., Borysova, N.: Analysis of existing German Corpora. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 135–136 (2017)
33. Kolesnik, A., Khairova, N.: Use of linguistic criteria for estimating of wikipedia articles quality. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, 133–134
34. Kirkin, S., Melnyk, K.: Intelligent data processing in creating targeted advertising. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, 131–132 (2017)
35. 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)
36. 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)
37. 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)
38. Verbinenko, Yu.: Discursive units in scientific texts. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 120–123 (2017)
39. 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)
40. 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)
41. Kotov, M.: NLP resources for a rare language morphological analyzer: danish case. In: 1st Inter, Conf, Computational Linguistics and Intelligent Systems, COLINS, 31–36 (2017)
References: 1. Alahmari, F., Magee, L., Linked Data and Entity Search: A Brief History and Some Ways Ahead. Proceedings of the 3rd Australasian Web Conference (2015)
2. Bontcheva, K., Tablan, V., Cunningham, H., Semantic search over documents and ontologies. Bridging Between Information Retrieval and Databases, Springer (2014)
3. Taylor, William P., A comparative study on ontology generation and text clustering using VSM, LSI, and document ontology models. Clemson University (2007)
4. Giannopoulos, G., A tool for semantic annotation and search. In: The Semantic Web: Research and Applications, Springer Berlin Heidelberg, 376-380 (2010)
5. Berlanga, R., Nebot ,V., Pérez, M., Tailored semantic annotation for semantic search .Web Semantics: Science, Services and Agents on the World Wide Web, 69-81 (2015)
6. Saša, Neši: Semantic Document Architecture for Desktop Data Integration and Management: Doctoral Dissertation (2010)
7. Hotho, A., Staab, S., Stumme, G., Wordnet improves Text Document Clustering. In: Proc. of the SIGIR 2003 Semantic Web Workshop, 541–544 (2003)
8. Vysotska, V., Chyrun, L., Lytvyn, V., Methods based on ontologies for information resources processing. Germany: LAP LAMBERT Academic Publishing (2016).
9. Vysotska, V., Tekhnolohiyi elektronnoyi komertsiyi ta Internet-marketynhu. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
10. Vysotska, V., Lytvyn, V., Web resources processing based on ontologies. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
11. Vysotska, V., Shakhovska, N., Information technologies of gamification for training and recruitment. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
12. Vysotska, V., Internet systems design and development based on Web Mining and NLP. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
13. Vysotska, V., Computer linguistics for online marketing in information technology : Monograph. Saarbrücken, Germany: LAP LAMBERT Academic Publishing (2018)
14. 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)
15. 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)
16. 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.l Conference Computational Linguistics and Intelligent Systems, COLINS, 84–94 (2017)
17. 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)
18. Orobinska, O., Chauchat, J.-H., Sharonova, N., Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security). In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, 95–99 (2017)
19. Hamon, T., Grabar, N., Unsupervised acquisition of morphological resources for Ukrainian. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 20–30 (2017)
20. 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)
21. 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)
22. 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)
23. 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)
24. 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)
25. 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)
26. 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)
27. 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)
28. Hnot, T., Qualitative content analysis: expertise and case study. In: 1st Inter. Conference Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/Qualitative-content-analysis_expertise-and-case-study.pdf (2017)
29. Romanyshyn, M., Grammatical Error Correction: why commas matter. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, http://colins.in.ua/wpcontent/ uploads/2017/04/Grammatical-Error-Correction-why-commas-matter.pdf. (2017)
30. Yukhno, K., Chubar, E., Gamification: today and tomorrow. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 139–140 (2017)
31. 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)
32. Olifenko, I., Borysova, N., Analysis of existing German Corpora. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 135–136 (2017)
33. Kolesnik, A., Khairova, N., Use of linguistic criteria for estimating of wikipedia articles quality. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, 133–134
34. Kirkin, S., Melnyk, K., Intelligent data processing in creating targeted advertising. In: 1st Inter. Conf. Computational Linguistics and Intelligent Systems, COLINS, 131–132 (2017)
35. 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)
36. 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)
37. 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)
38. Verbinenko, Yu., Discursive units in scientific texts. In: 1st International Conference Computational Linguistics and Intelligent Systems, COLINS, 120–123 (2017)
39. 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)
40. 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)
41. Kotov, M., NLP resources for a rare language morphological analyzer: danish case. In: 1st Inter, Conf, Computational Linguistics and Intelligent Systems, COLINS, 31–36 (2017)
Тип вмісту : Conference Abstract
Розташовується у зібраннях:Computational linguistics and intelligent systems. – 2018 р.



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