TY - JOUR
T1 - Elsevier's healthcare knowledge graph and the case for enterprise level linked data standards
AU - DeJong, Alex
AU - Bord, Radmila
AU - Dowling, Will
AU - Hoekstra, Rinke
AU - Moquin, Ryan
AU - Charlie, O.
AU - Samarasinghe, Mevan
AU - Snyder, Paul
AU - Stanley, Craig
AU - Tordai, Anna
AU - Trefry, Michael
AU - Groth, Paul
N1 - Publisher Copyright:
© 2018 CEUR-WS. All rights reserved.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Linked Data principles and standards provide a powerful means for data integration across multiple sources. However, these standards are often too open to interpretation. In this work, we describe the necessity to define enterprise wide Linked Data standards in order to deliver Elsevier's healthcare knowledge graph and lessons learned in its implementation.
AB - Linked Data principles and standards provide a powerful means for data integration across multiple sources. However, these standards are often too open to interpretation. In this work, we describe the necessity to define enterprise wide Linked Data standards in order to deliver Elsevier's healthcare knowledge graph and lessons learned in its implementation.
UR - http://www.scopus.com/inward/record.url?scp=85058430966&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:85058430966
SN - 1613-0073
VL - 2180
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2018 ISWC Posters and Demonstrations, Industry and Blue Sky Ideas Tracks, ISWC-P and D-Industry-BlueSky 2018
Y2 - 8 October 2018 through 12 October 2018
ER -