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Titlebook: Data Analytics and Management in Data Intensive Domains; 20th International C Yannis Manolopoulos,Sergey Stupnikov Conference proceedings 2

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发表于 2025-3-21 19:52:31 | 显示全部楼层 |阅读模式
书目名称Data Analytics and Management in Data Intensive Domains
副标题20th International C
编辑Yannis Manolopoulos,Sergey Stupnikov
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Data Analytics and Management in Data Intensive Domains; 20th International C Yannis Manolopoulos,Sergey Stupnikov Conference proceedings 2
描述This book constitutes the refereed proceedings of the 20th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2018, held in Moscow, Russia, in October 2018..The 9 revised full papers presented together with three invited papers were carefully reviewed and selected from 54 submissions. The papers are organized in the following topical sections: FAIR data infrastructures, interoperability and reuse; knowledge representation; data models; data analysis in astronomy; text search and processing; distributed computing; information extraction from text..
出版日期Conference proceedings 2019
关键词artificial intelligence; data exchange; data integration; databases; digital libraries; Natural Language
版次1
doihttps://doi.org/10.1007/978-3-030-23584-0
isbn_softcover978-3-030-23583-3
isbn_ebook978-3-030-23584-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Conference proceedings 2019d selected from 54 submissions. The papers are organized in the following topical sections: FAIR data infrastructures, interoperability and reuse; knowledge representation; data models; data analysis in astronomy; text search and processing; distributed computing; information extraction from text..
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City Branding and the Tourist Gazee system based on active metagraph is proposed. The approaches for mapping the metagraph model to the flat graph, document-oriented, and relational data models are proposed. The experiments result for storing the metagraph model in different databases are given. It is shown that the flat graph model is most suitable for metagraph storage.
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Hannah Abdullah,Eva Garcia-Chueca indexes for a specific query and compare these strategies with the optimal strategy. We also present the results of search experiments, which show that three-component key indexes enable much faster searches in comparison with two-component key indexes.
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https://doi.org/10.1007/978-3-031-29500-3 compose the attitude label, including recurrent neural network, which give the possibility to take into account additional context aspects. For experiments, the RuSentRel corpus was used, it contains Russian analytical texts in the domain of international relations.
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