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FAIR Big Data in the Materials Design Domain
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. Swedish e-Science Research Centre; University of Gävle, Gävle, Sweden.ORCID iD: 0000-0002-9084-0470
Linköping University, Department of Physics, Chemistry and Biology, Theoretical Physics. Linköping University, Faculty of Science & Engineering. Swedish e-Science Research Centre.ORCID iD: 0000-0002-5571-0814
Swedish e-Science Research Centre; Royal Institute of Technology, Stockholm.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. Swedish e-Science Research Centre.ORCID iD: 0000-0003-1881-3969
2022 (English)In: Encyclopedia of Big Data Technologies / [ed] Zomaya A, Taheri J, Sakr S, Cham: Springer, 2022Chapter in book (Refereed)
Abstract [en]

To speed up the progress in the field of materials design, a number of challenges related to big data need to be addressed. This entry discusses these challenges and shows the semantic technologies that alleviate the problems related to Variety, Variability, Veracity and FAIRness.
Place, publisher, year, edition, pages
Cham: Springer, 2022.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-188835DOI: 10.1007/978-3-319-63962-8_293-2ISBN: 9783319639628 (electronic)ISBN: 9783319639628 (print)OAI: oai:DiVA.org:liu-188835DiVA, id: diva2:1699304
Funder
Swedish Research Council, 2018-04147Swedish e‐Science Research CenterCUGS (National Graduate School in Computer Science)Available from: 2022-09-27 Created: 2022-09-27 Last updated: 2022-12-16Bibliographically approved

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Lambrix, Patrick

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Total: 126 hits
CiteExportLink to record
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