Museum virtual resources in the paradigm of "intelligent web"
DOI:
https://doi.org/10.32461/2226-0285.1.2019.181100Keywords:
virtual musealisation, museal, digital heritageAbstract
The purpose of the article. The research consists of highlighting the development of virtual museum re- sources in the World Wide Web as part of the concept of the "intelligent Web" (Web 3.0 concept). The methodology of the work is based on the culturological approach with the use of analysis, synthesis and historical methods. The scien- tific novelty of the work is to consider promising areas of transformation of museum-oriented web resources in accord- ance with the requirements of Web 3.0. Conclusion. The development of the World Wide Web in the direction defined by the concept of the "intellectual Web" that including the semantic web, open technologies, open identification, dis- tributed computing and cloud services, self-learning systems, forms a convenient tool for working with an array of his- torical and cultural information within an integrated virtual musealisation and predetermines the appropriate directions for the gradual transformation of museum virtual resources.
References
Бессмертный И.А. Методы поиска информации с использованием интеллектуального агента // Из- вестия высших учебных заведений. Приборостроение. 2009. Т. 52. ғ 12. С. 26-31.
Бессмертный И.А. Семантическая паутина и искусственный интеллект // Научно-технический вестник информационных технологий, механики и оптики. 2009. ғ 6 (64). С. 77-83.
Диковицкий В. В., Шишаев М. Г. Обработка текстов естественного языка в моделях поисковых си- стем // Труды Кольского научного центра РАН. 2010. ғ 3. С. 29-34.
Иванов В. В. Онтологический подход к созданию информационной системы по культурному наследию // Ученые записки Казанского университета. Серия Физико-математические науки. 2007. Том 149. ғ 2. С.73-91.
Иванов В. В. Технология интеграции и представления музейных данных в среде Web с помощью онтологий // Труды RCDL 2010. URL: http://rcdl.ru/doc/2010/476-481.pdf
Клочок С. Формування систем метаданих цифрових історико-культурних ресурсів бібліотек // Бібліотечний вісник. 2015. ғ 3. С. 29-36.
Кончаков Р.Б. Визуальные исторические источники и системы распознавания лиц FRS (Facial recognition system) // Историческая информатика. Информационные технологии и математические методы в исторических исследованиях и образовании. 2013. ғ6(4). С.78-83.
Про затвердження Порядку обліку музейних предметів в електронній формі: Наказ Міністерства культури України від 09.09.2016 ғ 784. URL: http://zakon.rada.gov.ua/laws/show/z1478-16
Сапанжа О. С. Теория музея и музейности: историографический обзор и историческая типология. СПб: Экспресс, 2011. 98 с.
Сошніков А. О. Музеалізація культури як прихований ресурс оновлення духовного виробництва в сучасних соціумах // Суспільне покликання філософії освіти у сучасних соціокультурних контекстах: моно- графія. Харків: Щедра
садиба плюс, 2014. С. 210-220.
Тузовский А. Ф. Разработка систем управления знаниями на основе единой онтологической базы знаний // Известия Томского политехнического университета. 2007. Т. 310. ғ 2. С. 182-185.
Шачкова В.А. Возможности системы Web 3.0 в современном медиапространстве: проблемы и пер- спективы // Вестник Нижегородского университета им. Н.И. Лобачевского. 2013. ғ4(2). С. 250-253.
Шорбан Е.А., Колесникова В.И., Плужников В.И. Краткое описание недвижимого памятника куль- туры: информационно-лингвистическое обеспечение. URL: http://www.future.museum.ru/part03/030201.htm
Юмашева Ю. Ю. Стандарты описания объектов историко-культурного наследия в информационно- поисковых системах: проблемы источниковедения // Вестник Пермского университета. Серия: История. 2013. ғ 2 (22). С.50-62.
Юмашева Ю. Ю., Чечуга О. В. Разработка стандарта электронных копий: к постановке проблемы // Известия Тульского государственного университета. Технические науки. 2015. ғ 12-1. С. 158-169.
Berners-Lee T. Linked Data. URL: https://www.w3.org/DesignIssues/LinkedData.html
Isaac A., Haslhofer B. Europeana Linked Open Data — data.europeana.eu. URL: http://www.semantic- web-journal.net/system/files/swj297_1.pdf
Semantic Web. URL: https://www.w3.org/standards/semanticweb/
Spivack N. Web 3.0: The Third Generation Web is Coming. URL: http://lifeboat.com/ex/web.3.0
Sutskever I., Vinyals O., Le Q. V. Sequence to Sequence Learning with Neural Networks. URL: https://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf
Bessmertnyy, I.A. (2009). Methods of information retrieval using an intelligent agent. Izvestiya vysshikh uchebnykh zavedeniy. Priborostroenie, Vol. 52, ғ12, 26-31 [in Russian]
Bessmertnyy, I.A. (2009). Semantic Web and Artificial Intelligence. Nauchno-tekhnicheskiy vestnik in- formatsionnykh tekhnologiy, mekhaniki i optiki, 6(64), 77-83 [in Russian]
Dikovitskiy, V. V., & Shishaev, M. G. (2010). Processing natural language texts in search engine models. Trudy Kolskogo nauchnogo tsentra RAN, 3, 29-34 [in Russian]
Ivanov, V.V. (2007). Ontological approach to the creation of an information system on cultural heritage. Uchenye zapiski Kazanskogo universiteta. Seriya Fiziko-matematicheskie nauki, Vol. 149, ғ2, 73-91 [in Russian]
Ivanov, V.V. (2010). The technology of integration and presentation of museum data in a Web environ- ment using ontologies. Trudy RCDL. Retrieved from http://rcdl.ru/doc/2010/476-481.pdf [in Russian]
Klochok, S. (2015). Formation of metadata systems for digital historical and cultural resources of libraries. Bibliotechnyi visnyk, 3, 29-36 [in Ukrainian]
Konchakov, R.B. (2013). Visual historical sources and Facial recognition system. Istoricheskaya informat- ika. Informatsionnye tekhnologii i matematicheskie metody v istoricheskikh issledovaniyakh i obrazovanii, 6(4), 78-83 [in Russian]
Order of the Ministry of Culture of Ukraine On Approval of the Procedure for the Registration of Museum Items in Electronic Form from 09.09.2016 ғ 784. (2016). Retrieved from http://zakon.rada.gov.ua/laws/show/z1478-16 [in Ukrainian]
Sapanzha, O. S. (2011). Theory of museum and museuality: Historiographical Review and Historical Ty- pology. Saint Petersburg: Ekspress [in Russian]
Soshnikov, A. O. (2014). Musealisation of culture as a hidden resource for the renewal of spiritual produc- tion in contemporary societies. Suspilne poklykannia filosofii osvity u suchasnykh sotsiokulturnykh kontekstakh: mon- ohrafiia. (pp. 210-220). Kharkiv: Shchedra sadyba plius [in Ukrainian]
Tuzovskiy, A. F. (2007). Development of knowledge management systems based on a single ontological knowledge base. Izvestiya Tomskogo politekhnicheskogo universiteta, Vol. 310, ғ2, 182-185 [in Russian]
Shachkova, V.A. (2013). The possibilities of the Web 3.0 system in the modern media space: problems and perspectives. Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo, 4(2), 250-253 [in Russian]
Shorban, Ye.A., Kolesnikova, V.I., & Pluzhnikov, V.I. Short description of the immovable cultural mon- ument: information and linguistic support. Retrieved from http://www.future.museum.ru/part03/030201.htm [in Rus- sian]
Yumasheva, Yu.Yu. Standards for the description of objects of historical and cultural heritage in infor- mation retrieval systems: problems of source study. Vestnik Permskogo universiteta. Seriya: Istoriya, 2013, 2 (22), 50- 62 [in Russian]
Yumasheva, Yu.Yu., & Chechuga O. V. (2015). Development of the standard for electronic copies: to the formulation of the problem. Izvestiya Tulskogo gosudarstvennogo universiteta. Tekhnicheskie nauki, 12-1, 158-169 [in Russian]
Berners-Lee, T. (2009). Linked Data. Retrieved from https://www.w3.org/DesignIssues/LinkedData.html
Isaac, A., & Haslhofer, B. (2013). Europeana Linked Open Data — data.europeana.eu. Retrieved from http://www.semantic-web-journal.net/system/files/swj297_1.pdf
Semantic Web. (2015). Retrieved from https://www.w3.org/standards/semanticweb/
Spivack, N. (2007). Web 3.0: The Third Generation Web is Coming. Retrieved from http://lifeboat.com/ex/web.3.0
Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to Sequence Learning with Neural Networks. Re- trieved from https://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf
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