Subhash Bhalla – författare
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This book is focused on an emerging area, i.e. combination of IoT and semantic technologies, which should enable breaking the silos of local and/or domain-specific IoT deployments.
Taking into account the way that IoT ecosystems are realized, several challenges can be identified. Among them of definite importance are (this list is, obviously, not exhaustive): (i) How to provide common representation and/or shared understanding of data that will enable analysis across (systematically growing) ecosystems? (ii) How to build ecosystems based on data flows? (iii) How to track data provenance? (iv) How to ensure/manage trust? (v) How to search for things/data within ecosystems? (vi) How to store data and assure its quality?
Semantic technologies are often considered among the possible ways of addressing these (and other, related) questions. More precisely, in academic research and in industrial practice, semantic technologies materialize in the following contexts (this list is, also, not exhaustive, but indicates the breadth of scope of semantic technology usability): (i) representation of artefacts in IoT ecosystems and IoT networks, (ii) providing interoperability between heterogeneous IoT artefacts, (ii) representation of provenance information, enabling provenance tracking, trust establishment, and quality assessment, (iv) semantic search, enabling flexible access to data originating in different places across the ecosystem, (v) flexible storage of heterogeneous data. Finally, Semantic Web, Web of Things, and Linked Open Data are architectural paradigms, with which the aforementioned solutions are to be integrated, to provide production-ready deployments.
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Big-Data-Analytics in Astronomy, Science, and Engineering
9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7–9, 2021, Proceedings
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The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.
Big Data Analytics in Astronomy, Science, and Engineering
10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022, Proceedings
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The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.
Big Data Analytics in Astronomy, Science, and Engineering
12th International Conference on Big Data Analytics, BDA 2024, Aizu, Japan, November 26–28, 2024, Proceedings
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This book constitutes the proceedings of the 12th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2024, which took place in Aizu, Japan during November 26-28, 2024.
The 16 full papers included in this book were carefully reviewed and selected from 90 submissions; the proceedings also include 6 invited papers. The contributions were organized in topical sections as follows: Big Data: analysis and management; data science; big data applications; and information security.
Big Data Analytics in Astronomy, Science, and Engineering
13th International Conference on Big Data Analytics, BDA 2025, Aizu, Japan, December 15–17, 2025, Proceedings
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978 kr
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Databases in Networked Information Systems
9th International Workshop, DNIS 2014, Aizu-Wakamatsu, Japan, March 24-26, 2014, Proceedings
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Databases in Networked Information Systems
10th International Workshop, DNIS 2015, Aizu, Japan, March 23-25, 2015, Proceedings
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This book constitutes the refereed proceedings of the 10th International Workshop on Databases in Networked Information Systems, DNIS 2015, held in Aizu-Wakamatsu, Japan, March 2015.
The 14 revised full papers presented together with 7 invited papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on big data analysis, information and knowledge management, business data analytics and visualization, networked information resources, and business data analytics in astronomy and sciences.
Big Data Analytics
5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings
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This book constitutes the refereed conference proceedings of the 5th International Conference on Big Data Analytics, BDA 2017, held in Hyderabad, India, in December 2017.
The 21 revised full papers were carefully reviewed and selected from 80 submissions and cover topics on big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.
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562 kr
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708 kr
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562 kr
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562 kr
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562 kr
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562 kr
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562 kr
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