Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/66782

TitleAn immersive web visualization platform for a big data context in bosch’s industry 4.0 movement
Author(s)Rebelo, João
Andrade, Carina
Costa, Carlos A. P.
Santos, Maribel Yasmina
KeywordsBig Data Visualization
Complex Event Processing
Immersive Analytics
Issue date2020
PublisherSpringer
JournalLecture Notes in Business Information Processing
Abstract(s)Motivated by challenges that emerged from Complex Event Processing (CEP) in Big Data contexts, an Intelligent Event Broker (IEB) was previously proposed as a CEP system built on flexible and scalable Big Data technologies and techniques, being already applied to Industry 4.0 scenarios. A key feature of the IEB lies in an effective visualization system for meta-monitorization and management. An analysis of previous scientific and technical literature has shown scarcity of proposals or development of such mechanisms. This paper proposes a Web Visualization Platform for managing and monitoring an IEB system based on novel approaches that include interactive exploration techniques, tridimensional visualizations and mixed-reality environments. Being mainly targeted towards Industry 4.0, this paper presents a demonstration case at Bosch Car Multimedia Portugal. Results indicate that significant value can be obtained when the visualization system is applied to decision support scenarios within organizations foreseeing event processing, Big Data, and Industry 4.0 projects.
TypeConference paper
URIhttps://hdl.handle.net/1822/66782
ISBN9783030443214
DOI10.1007/978-3-030-44322-1_6
ISSN1865-1348
Publisher versionhttps://link.springer.com/chapter/10.1007%2F978-3-030-44322-1_6
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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