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Big Semantic Data Processing in the Materials Design Domain
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. (IDA/ADIT)ORCID iD: 0000-0002-9084-0470
Linköping University, Department of Physics, Chemistry and Biology, Theoretical Physics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5571-0814
School of Science and Engineering (SCI) at the Royal Institute of Technology, KTH, Sweden.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
2018 (English)In: Encyclopedia of Big Data Technologies / [ed] Sherif Sakr and Albert Zomaya, Cham: Springer, 2018Chapter 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, and veracity.
Place, publisher, year, edition, pages
Cham: Springer, 2018.
National Category
Computer Sciences Materials Engineering
Identifiers
URN: urn:nbn:se:liu:diva-147715DOI: 10.1007/978-3-319-63962-8_293-1ISBN: 9783319639628 (electronic)OAI: oai:DiVA.org:liu-147715DiVA, id: diva2:1204122
Funder
Swedish e‐Science Research CenterAvailable from: 2018-05-07 Created: 2018-05-07 Last updated: 2018-05-07Bibliographically approved

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Lambrix, PatrickArmiento, RickardLi, Huanyu

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