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dc.contributor.authorKoutsomitropoulos, Dimitrios
dc.contributor.authorLikothanassis, Spiridon
dc.contributor.authorKalnis, Panos
dc.date.accessioned2019-05-14T12:53:13Z
dc.date.available2019-05-14T12:53:13Z
dc.date.issued2019-05-13
dc.identifier.citationKoutsomitropoulos D, Likothanassis S, Kalnis P (2019) Semantics in the Deep: Semantic Analytics for Big Data. Data 4: 63. Available: http://dx.doi.org/10.3390/data4020063.
dc.identifier.issn2306-5729
dc.identifier.doi10.3390/data4020063
dc.identifier.urihttp://hdl.handle.net/10754/652880
dc.publisherMDPI AG
dc.relation.urlhttps://www.mdpi.com/2306-5729/4/2/63
dc.rightsLicensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleSemantics in the Deep: Semantic Analytics for Big Data
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.identifier.journalData
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDepartment of Computer Engineering & Informatics, University of Patras, Patras 26504, Greece
kaust.personKalnis, Panos
refterms.dateFOA2019-05-14T13:02:17Z


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Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).