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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/4946
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dc.contributor.authorБуравкин, А. Г.-
dc.contributor.authorКореняко, С. А.-
dc.contributor.authorЛипницкий, С. Ф.-
dc.contributor.authorСтепура, Л. В.-
dc.date.accessioned2015-10-15T12:06:26Z-
dc.date.accessioned2017-07-18T11:54:57Z-
dc.date.available2015-10-15T12:06:26Z-
dc.date.available2017-07-18T11:54:57Z-
dc.date.issued2015-
dc.identifier.citationБуравкин А. Г. Поиск и реферирование научно-технической информации в локальных и глобальных компьютерных сетях // BIG DATA and Predictive Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий : сборник материалов международной научно-практической конференции / редкол. : М. П. Батура [и др.]. – Минск : БГУИР, 2015. – С. 88-92ru_RU
dc.identifier.isbn978-985-543-146-7-
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/4946-
dc.description.abstractAutomated system of retrieval and summarization of textual information was developed in UIIP NASB. Implemented in the system models and algorithms are used to enhance and effectively use information resources from various sources (Internet, LAN, hard drives of individual computer users). Proposed in this paper approach to retrieving and summarization the text information, in contrast to existing ones, based on thematic and dynamic text corpora (set of texts on specific top- ics), which adapts the system to the task and the information needs of users, and independent soft- ware of the input language. Such a text corpora can be created under the projected pre-task and quickly formed after the request (dynamic text corpora).ru_RU
dc.language.isoruru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectнаучно-техническая информацияru_RU
dc.subjectсистема поиска информацииru_RU
dc.titleПоиск и реферирование научно-технической информации в локальных и глобальных компьютерных сетяхru_RU
dc.typeArticleru_RU
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2015)

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