Elsevier's healthcare knowledge graph and the case for enterprise level linked data standards

Alex DeJong; Radmila Bord; Will Dowling; Rinke Hoekstra; Ryan Moquin; O. Charlie; Mevan Samarasinghe; Paul Snyder; Craig Stanley; Anna Tordai; Michael Trefry; Paul Groth

Elsevier's healthcare knowledge graph and the case for enterprise level linked data standards

Alex DeJong, Radmila Bord, Will Dowling, Rinke Hoekstra, Ryan Moquin, O. Charlie, Mevan Samarasinghe, Paul Snyder, Craig Stanley, Anna Tordai, Michael Trefry, Paul Groth

Elsevier Labs

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	2180
State	Published - Jan 1 2018
Event	2018 ISWC Posters and Demonstrations, Industry and Blue Sky Ideas Tracks, ISWC-P and D-Industry-BlueSky 2018 - Monterey, United States Duration: Oct 8 2018 → Oct 12 2018

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title = "Elsevier's healthcare knowledge graph and the case for enterprise level linked data standards",

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author = "Alex DeJong and Radmila Bord and Will Dowling and Rinke Hoekstra and Ryan Moquin and O. Charlie and Mevan Samarasinghe and Paul Snyder and Craig Stanley and Anna Tordai and Michael Trefry and Paul Groth",

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Elsevier's healthcare knowledge graph and the case for enterprise level linked data standards. / DeJong, Alex; Bord, Radmila; Dowling, Will; Hoekstra, Rinke; Moquin, Ryan; Charlie, O.; Samarasinghe, Mevan; Snyder, Paul; Stanley, Craig; Tordai, Anna; Trefry, Michael; Groth, Paul.

In: CEUR Workshop Proceedings, Vol. 2180, 01.01.2018.

Research output: Contribution to journal › Conference article › peer-review

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

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 - Conference article

AN - SCOPUS:85058430966

VL - 2180

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

Y2 - 8 October 2018 through 12 October 2018

ER -