LEADER 01567nam 2200349 450 001 9910412325903321 005 20230822163403.0 035 $a(CKB)5280000000243716 035 $a(NjHacI)995280000000243716 035 $a(EXLCZ)995280000000243716 100 $a20230822d2019 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aProceedings of the International Workshop on Semantic Big Data (SBD 2019) $ein conjunction with the 2019 ACM SIGMOD/PODS Conference in Amsterdam, Netherlands : July 5, 2019 /$fedited by Sven Groppe, Le Gruenwald 210 1$aNew York, New York :$cAssociation for Computing Machinery,$d2019. 215 $a1 online resource (57 pages) $cillustrations 311 $a1-4503-6766-6 330 $aThe goal of this workshop is to bring together academic researchers and industry practitioners to address the challenges and report and exchange the research findings in Semantic Big Data, including new approaches, techniques and applications, make substantial theoretical and empirical contributions to, and significantly advance the state of the art of Semantic Big Data. 606 $aSemantic Web$vCongresses 615 0$aSemantic Web 676 $a025.04 702 $aGroppe$b Sven 702 $aGruenwald$b Le 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910412325903321 996 $aProceedings of the International Workshop on Semantic Big Data (SBD 2019)$93422599 997 $aUNINA