SlideShare a Scribd company logo
1 of 17
Elsevier’s Healthcare
Knowledge Graph
Alex DeJong, Radmila Bord, Will Dowling, Rinke Hoekstra, Ryan Moquin, Charlie O, Mevan
Samarasinghe, Paul Snyder, Craig Stanley, Anna Tordai, Michael Trefry, and Paul Groth.
@pgroth | @elsevierlabs
October 10, 2018
The Case for Enterprise Linked
Data Standards
“A global information analytics business”
2
Knowledge Graphs at Elsevier
3
A Health Care Knowledge Graph
4
What types of questions do clinicians ask?
Spans Entity Types
- Drugs
- Diagnosis
- Symptoms
- Phenotypes
- Diseases
- …
H-Graph: The Elsevier Health Knowledge Graph
400K+ medical concepts with relations and extensive
mappings to industry vocabularies and multi-language support
4.9M+ semantic relations extracted from medical
literature using NLP and convolutional neural networks
Deep and expressive graph model extends relations with
qualitative and quantitative context
Graph-based knowledge representations power
advanced clinical decision support applications
Deeper Data Lies in Products
Deeper Data Lies in Products
But how do we get at it with
minimal impact to current
workflows?
Use Linked Data to Integrate
8
Linked Data Principles are under specified
• What syntax do you provide and as a
consumer can you expect?
• What names spaces do you use?
• How do you link to single sign-on?
• What links should you set?
9
Elsevier Linked Data Standards
10
Elsevier Linked Data Standards
11
Elsevier Linked Data Standards
12
Videos and Documents
Patient Education
Drug Database
Gold Standard
Care Plans
Order Sets
Clinical Trial Data
MACRO
Radiology Images
StatDX
Pathology Images
ExpertPath
Books and Journals
ScienceDirect
ICD-10
RxNorm LOINC
SNOMED
MeSH
H-Graph Core
Graph Database
External Vocabularies
H-Graph
Core
Clinical Guidelines
LD API
LD API
LDAPI
LDAPI
LDAPI
LD API
LD API
LDAPI
LD API
LD API
LD API
Patient Journey
Patient
Intake
Suspected
Diagnosis
Diagnostic
Test
Confirmed
Diagnosis
Treatment
Plan
Treatment
Delivery
Discharge &
Ongoing Care
Elsevier
Patient Journey
Products and ACDS
Differential Diagnosis
Alerts
Image Analysis
Pathways
Order Sets
Care Plans
Patient Engagement
Skills & eLearning
Clinical Overviews
ClinicalKey Reference
Gold Standard
H-Graph: The Elsevier Health Knowledge Graph
H-Graph Core connects Elsevier products, data, and healthcare content to power ACDS
Pre-Visit
Symptom
Checkers
(e.g., Arezzo)
Patient-Centered Apps
(e.g., chronic disease
management
for diabetes)
Result: a unified but distributed knowledge graph
14
Lesson: Namespace control is key
15
Lesson: Developer UX
16
Thank you
Paul Groth | @pgroth
@elsevierlabs

More Related Content

What's hot

Optimizing the Supply Chain with Knowledge Graphs, IoT and Digital Twins_Moor...
Optimizing the Supply Chain with Knowledge Graphs, IoT and Digital Twins_Moor...Optimizing the Supply Chain with Knowledge Graphs, IoT and Digital Twins_Moor...
Optimizing the Supply Chain with Knowledge Graphs, IoT and Digital Twins_Moor...Neo4j
 
Data Mesh for Dinner
Data Mesh for DinnerData Mesh for Dinner
Data Mesh for DinnerKent Graziano
 
Snowflake: The Good, the Bad, and the Ugly
Snowflake: The Good, the Bad, and the UglySnowflake: The Good, the Bad, and the Ugly
Snowflake: The Good, the Bad, and the UglyTyler Wishnoff
 
Building a Scalable Record Linkage System with Apache Spark, Python 3, and Ma...
Building a Scalable Record Linkage System with Apache Spark, Python 3, and Ma...Building a Scalable Record Linkage System with Apache Spark, Python 3, and Ma...
Building a Scalable Record Linkage System with Apache Spark, Python 3, and Ma...Databricks
 
Kafka for Real-Time Replication between Edge and Hybrid Cloud
Kafka for Real-Time Replication between Edge and Hybrid CloudKafka for Real-Time Replication between Edge and Hybrid Cloud
Kafka for Real-Time Replication between Edge and Hybrid CloudKai Wähner
 
Overview of new features in Apache Ranger
Overview of new features in Apache RangerOverview of new features in Apache Ranger
Overview of new features in Apache RangerDataWorks Summit
 
Build Real-Time Applications with Databricks Streaming
Build Real-Time Applications with Databricks StreamingBuild Real-Time Applications with Databricks Streaming
Build Real-Time Applications with Databricks StreamingDatabricks
 
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017AWS Chicago
 
Introduction to Graph Databases
Introduction to Graph DatabasesIntroduction to Graph Databases
Introduction to Graph DatabasesMax De Marzi
 
Delta lake and the delta architecture
Delta lake and the delta architectureDelta lake and the delta architecture
Delta lake and the delta architectureAdam Doyle
 
Databus: LinkedIn's Change Data Capture Pipeline SOCC 2012
Databus: LinkedIn's Change Data Capture Pipeline SOCC 2012Databus: LinkedIn's Change Data Capture Pipeline SOCC 2012
Databus: LinkedIn's Change Data Capture Pipeline SOCC 2012Shirshanka Das
 
Databricks Platform.pptx
Databricks Platform.pptxDatabricks Platform.pptx
Databricks Platform.pptxAlex Ivy
 
Demystifying Graph Neural Networks
Demystifying Graph Neural NetworksDemystifying Graph Neural Networks
Demystifying Graph Neural NetworksNeo4j
 
Architect’s Open-Source Guide for a Data Mesh Architecture
Architect’s Open-Source Guide for a Data Mesh ArchitectureArchitect’s Open-Source Guide for a Data Mesh Architecture
Architect’s Open-Source Guide for a Data Mesh ArchitectureDatabricks
 
Data Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to MeshData Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to MeshJeffrey T. Pollock
 
Leveraging Knowledge Graphs in your Enterprise Knowledge Management System
Leveraging Knowledge Graphs in your Enterprise Knowledge Management SystemLeveraging Knowledge Graphs in your Enterprise Knowledge Management System
Leveraging Knowledge Graphs in your Enterprise Knowledge Management SystemSemantic Web Company
 
Neo4j Graph Use Cases, Bruno Ungermann, Neo4j
Neo4j Graph Use Cases, Bruno Ungermann, Neo4jNeo4j Graph Use Cases, Bruno Ungermann, Neo4j
Neo4j Graph Use Cases, Bruno Ungermann, Neo4jNeo4j
 
Drug Discovery Knowledge Graph
Drug Discovery Knowledge Graph Drug Discovery Knowledge Graph
Drug Discovery Knowledge Graph Tomás Sabat
 

What's hot (20)

Optimizing the Supply Chain with Knowledge Graphs, IoT and Digital Twins_Moor...
Optimizing the Supply Chain with Knowledge Graphs, IoT and Digital Twins_Moor...Optimizing the Supply Chain with Knowledge Graphs, IoT and Digital Twins_Moor...
Optimizing the Supply Chain with Knowledge Graphs, IoT and Digital Twins_Moor...
 
Data Mesh for Dinner
Data Mesh for DinnerData Mesh for Dinner
Data Mesh for Dinner
 
Data Mesh
Data MeshData Mesh
Data Mesh
 
Snowflake: The Good, the Bad, and the Ugly
Snowflake: The Good, the Bad, and the UglySnowflake: The Good, the Bad, and the Ugly
Snowflake: The Good, the Bad, and the Ugly
 
Building a Scalable Record Linkage System with Apache Spark, Python 3, and Ma...
Building a Scalable Record Linkage System with Apache Spark, Python 3, and Ma...Building a Scalable Record Linkage System with Apache Spark, Python 3, and Ma...
Building a Scalable Record Linkage System with Apache Spark, Python 3, and Ma...
 
Kafka for Real-Time Replication between Edge and Hybrid Cloud
Kafka for Real-Time Replication between Edge and Hybrid CloudKafka for Real-Time Replication between Edge and Hybrid Cloud
Kafka for Real-Time Replication between Edge and Hybrid Cloud
 
Overview of new features in Apache Ranger
Overview of new features in Apache RangerOverview of new features in Apache Ranger
Overview of new features in Apache Ranger
 
Build Real-Time Applications with Databricks Streaming
Build Real-Time Applications with Databricks StreamingBuild Real-Time Applications with Databricks Streaming
Build Real-Time Applications with Databricks Streaming
 
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017
 
Introduction to Graph Databases
Introduction to Graph DatabasesIntroduction to Graph Databases
Introduction to Graph Databases
 
Delta lake and the delta architecture
Delta lake and the delta architectureDelta lake and the delta architecture
Delta lake and the delta architecture
 
Databus: LinkedIn's Change Data Capture Pipeline SOCC 2012
Databus: LinkedIn's Change Data Capture Pipeline SOCC 2012Databus: LinkedIn's Change Data Capture Pipeline SOCC 2012
Databus: LinkedIn's Change Data Capture Pipeline SOCC 2012
 
Databricks Platform.pptx
Databricks Platform.pptxDatabricks Platform.pptx
Databricks Platform.pptx
 
Data mesh
Data meshData mesh
Data mesh
 
Demystifying Graph Neural Networks
Demystifying Graph Neural NetworksDemystifying Graph Neural Networks
Demystifying Graph Neural Networks
 
Architect’s Open-Source Guide for a Data Mesh Architecture
Architect’s Open-Source Guide for a Data Mesh ArchitectureArchitect’s Open-Source Guide for a Data Mesh Architecture
Architect’s Open-Source Guide for a Data Mesh Architecture
 
Data Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to MeshData Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to Mesh
 
Leveraging Knowledge Graphs in your Enterprise Knowledge Management System
Leveraging Knowledge Graphs in your Enterprise Knowledge Management SystemLeveraging Knowledge Graphs in your Enterprise Knowledge Management System
Leveraging Knowledge Graphs in your Enterprise Knowledge Management System
 
Neo4j Graph Use Cases, Bruno Ungermann, Neo4j
Neo4j Graph Use Cases, Bruno Ungermann, Neo4jNeo4j Graph Use Cases, Bruno Ungermann, Neo4j
Neo4j Graph Use Cases, Bruno Ungermann, Neo4j
 
Drug Discovery Knowledge Graph
Drug Discovery Knowledge Graph Drug Discovery Knowledge Graph
Drug Discovery Knowledge Graph
 

Similar to Elsevier’s Healthcare Knowledge Graph

Rock Report: Big Data by @Rock_Health
Rock Report: Big Data by @Rock_HealthRock Report: Big Data by @Rock_Health
Rock Report: Big Data by @Rock_HealthRock Health
 
Open science and medical evidence generation - Kees van Bochove - The Hyve
Open science and medical evidence generation - Kees van Bochove - The HyveOpen science and medical evidence generation - Kees van Bochove - The Hyve
Open science and medical evidence generation - Kees van Bochove - The HyveKees van Bochove
 
Unpacking AI for Healthcare
Unpacking AI for HealthcareUnpacking AI for Healthcare
Unpacking AI for HealthcareLumiata
 
The Role of Data Lakes in Healthcare
The Role of Data Lakes in HealthcareThe Role of Data Lakes in Healthcare
The Role of Data Lakes in HealthcarePerficient, Inc.
 
AI in Healthcare
AI in HealthcareAI in Healthcare
AI in HealthcarePaul Agapow
 
Is Big Data Always Good Data?
Is Big Data Always Good Data? Is Big Data Always Good Data?
Is Big Data Always Good Data? MyMeds&Me
 
Speech recognition and clinical knowledge systems
Speech recognition and clinical knowledge systemsSpeech recognition and clinical knowledge systems
Speech recognition and clinical knowledge systemsKlaus Stanglmayr
 
Connected Health Interoperability Platform_White Paper_Cisco UCSF_2016
Connected Health Interoperability Platform_White Paper_Cisco UCSF_2016Connected Health Interoperability Platform_White Paper_Cisco UCSF_2016
Connected Health Interoperability Platform_White Paper_Cisco UCSF_2016Wernhard Berger
 
The Digital Metamorphosis of the Pharma Industry
The Digital Metamorphosis of the Pharma IndustryThe Digital Metamorphosis of the Pharma Industry
The Digital Metamorphosis of the Pharma IndustryLen Starnes
 
New Frontiers in Applied NLP​ - PAW Healthcare 2022
New Frontiers in Applied NLP​ - PAW Healthcare 2022New Frontiers in Applied NLP​ - PAW Healthcare 2022
New Frontiers in Applied NLP​ - PAW Healthcare 2022David Talby
 
Future of patient data global summary - 29 may 2018
Future of patient data   global summary - 29 may 2018Future of patient data   global summary - 29 may 2018
Future of patient data global summary - 29 may 2018Future Agenda
 
The Hive Think Tank: Unpacking AI for Healthcare
The Hive Think Tank: Unpacking AI for Healthcare The Hive Think Tank: Unpacking AI for Healthcare
The Hive Think Tank: Unpacking AI for Healthcare The Hive
 
Virtual Reality and Healthcare - The Past, the Present, and the Future
Virtual Reality and Healthcare -   The Past, the Present, and the FutureVirtual Reality and Healthcare -   The Past, the Present, and the Future
Virtual Reality and Healthcare - The Past, the Present, and the FutureStanford University
 
mHealth Israel conference 2014_Thierry Zylberberg_Head of Healthcare_Orange
mHealth Israel conference 2014_Thierry Zylberberg_Head of Healthcare_OrangemHealth Israel conference 2014_Thierry Zylberberg_Head of Healthcare_Orange
mHealth Israel conference 2014_Thierry Zylberberg_Head of Healthcare_OrangeLevi Shapiro
 
Digital webinar master deck final
Digital webinar master deck finalDigital webinar master deck final
Digital webinar master deck finalPistoia Alliance
 
LFS302_Real-World Evidence Platform to Enable Therapeutic Innovation
LFS302_Real-World Evidence Platform to Enable Therapeutic InnovationLFS302_Real-World Evidence Platform to Enable Therapeutic Innovation
LFS302_Real-World Evidence Platform to Enable Therapeutic InnovationAmazon Web Services
 
한국에서 혁신적인 디지털 헬스케어 스타트업이 탄생하려면
한국에서 혁신적인 디지털 헬스케어 스타트업이 탄생하려면한국에서 혁신적인 디지털 헬스케어 스타트업이 탄생하려면
한국에서 혁신적인 디지털 헬스케어 스타트업이 탄생하려면Yoon Sup Choi
 

Similar to Elsevier’s Healthcare Knowledge Graph (20)

Rock Report: Big Data by @Rock_Health
Rock Report: Big Data by @Rock_HealthRock Report: Big Data by @Rock_Health
Rock Report: Big Data by @Rock_Health
 
Open science and medical evidence generation - Kees van Bochove - The Hyve
Open science and medical evidence generation - Kees van Bochove - The HyveOpen science and medical evidence generation - Kees van Bochove - The Hyve
Open science and medical evidence generation - Kees van Bochove - The Hyve
 
Unpacking AI for Healthcare
Unpacking AI for HealthcareUnpacking AI for Healthcare
Unpacking AI for Healthcare
 
The Role of Data Lakes in Healthcare
The Role of Data Lakes in HealthcareThe Role of Data Lakes in Healthcare
The Role of Data Lakes in Healthcare
 
AI in Healthcare
AI in HealthcareAI in Healthcare
AI in Healthcare
 
Is Big Data Always Good Data?
Is Big Data Always Good Data? Is Big Data Always Good Data?
Is Big Data Always Good Data?
 
Speech recognition and clinical knowledge systems
Speech recognition and clinical knowledge systemsSpeech recognition and clinical knowledge systems
Speech recognition and clinical knowledge systems
 
Connected Health Interoperability Platform_White Paper_Cisco UCSF_2016
Connected Health Interoperability Platform_White Paper_Cisco UCSF_2016Connected Health Interoperability Platform_White Paper_Cisco UCSF_2016
Connected Health Interoperability Platform_White Paper_Cisco UCSF_2016
 
The Digital Metamorphosis of the Pharma Industry
The Digital Metamorphosis of the Pharma IndustryThe Digital Metamorphosis of the Pharma Industry
The Digital Metamorphosis of the Pharma Industry
 
New Frontiers in Applied NLP​ - PAW Healthcare 2022
New Frontiers in Applied NLP​ - PAW Healthcare 2022New Frontiers in Applied NLP​ - PAW Healthcare 2022
New Frontiers in Applied NLP​ - PAW Healthcare 2022
 
Poster CBIS 2012
Poster CBIS 2012Poster CBIS 2012
Poster CBIS 2012
 
Future of patient data global summary - 29 may 2018
Future of patient data   global summary - 29 may 2018Future of patient data   global summary - 29 may 2018
Future of patient data global summary - 29 may 2018
 
The Hive Think Tank: Unpacking AI for Healthcare
The Hive Think Tank: Unpacking AI for Healthcare The Hive Think Tank: Unpacking AI for Healthcare
The Hive Think Tank: Unpacking AI for Healthcare
 
Virtual Reality and Healthcare - The Past, the Present, and the Future
Virtual Reality and Healthcare -   The Past, the Present, and the FutureVirtual Reality and Healthcare -   The Past, the Present, and the Future
Virtual Reality and Healthcare - The Past, the Present, and the Future
 
mHealth Israel conference 2014_Thierry Zylberberg_Head of Healthcare_Orange
mHealth Israel conference 2014_Thierry Zylberberg_Head of Healthcare_OrangemHealth Israel conference 2014_Thierry Zylberberg_Head of Healthcare_Orange
mHealth Israel conference 2014_Thierry Zylberberg_Head of Healthcare_Orange
 
Digital webinar master deck final
Digital webinar master deck finalDigital webinar master deck final
Digital webinar master deck final
 
LFS302_Real-World Evidence Platform to Enable Therapeutic Innovation
LFS302_Real-World Evidence Platform to Enable Therapeutic InnovationLFS302_Real-World Evidence Platform to Enable Therapeutic Innovation
LFS302_Real-World Evidence Platform to Enable Therapeutic Innovation
 
Data Driven Health Care Enterprise
Data Driven Health Care EnterpriseData Driven Health Care Enterprise
Data Driven Health Care Enterprise
 
Data Driven Health Care Enterprise
Data Driven Health Care EnterpriseData Driven Health Care Enterprise
Data Driven Health Care Enterprise
 
한국에서 혁신적인 디지털 헬스케어 스타트업이 탄생하려면
한국에서 혁신적인 디지털 헬스케어 스타트업이 탄생하려면한국에서 혁신적인 디지털 헬스케어 스타트업이 탄생하려면
한국에서 혁신적인 디지털 헬스케어 스타트업이 탄생하려면
 

More from Paul Groth

Data Curation and Debugging for Data Centric AI
Data Curation and Debugging for Data Centric AIData Curation and Debugging for Data Centric AI
Data Curation and Debugging for Data Centric AIPaul Groth
 
Content + Signals: The value of the entire data estate for machine learning
Content + Signals: The value of the entire data estate for machine learningContent + Signals: The value of the entire data estate for machine learning
Content + Signals: The value of the entire data estate for machine learningPaul Groth
 
Data Communities - reusable data in and outside your organization.
Data Communities - reusable data in and outside your organization.Data Communities - reusable data in and outside your organization.
Data Communities - reusable data in and outside your organization.Paul Groth
 
Minimal viable-datareuse-czi
Minimal viable-datareuse-cziMinimal viable-datareuse-czi
Minimal viable-datareuse-cziPaul Groth
 
Knowledge Graph Maintenance
Knowledge Graph MaintenanceKnowledge Graph Maintenance
Knowledge Graph MaintenancePaul Groth
 
Knowledge Graph Futures
Knowledge Graph FuturesKnowledge Graph Futures
Knowledge Graph FuturesPaul Groth
 
Knowledge Graph Maintenance
Knowledge Graph MaintenanceKnowledge Graph Maintenance
Knowledge Graph MaintenancePaul Groth
 
Thoughts on Knowledge Graphs & Deeper Provenance
Thoughts on Knowledge Graphs  & Deeper ProvenanceThoughts on Knowledge Graphs  & Deeper Provenance
Thoughts on Knowledge Graphs & Deeper ProvenancePaul Groth
 
Thinking About the Making of Data
Thinking About the Making of DataThinking About the Making of Data
Thinking About the Making of DataPaul Groth
 
End-to-End Learning for Answering Structured Queries Directly over Text
End-to-End Learning for  Answering Structured Queries Directly over Text End-to-End Learning for  Answering Structured Queries Directly over Text
End-to-End Learning for Answering Structured Queries Directly over Text Paul Groth
 
From Data Search to Data Showcasing
From Data Search to Data ShowcasingFrom Data Search to Data Showcasing
From Data Search to Data ShowcasingPaul Groth
 
The Challenge of Deeper Knowledge Graphs for Science
The Challenge of Deeper Knowledge Graphs for ScienceThe Challenge of Deeper Knowledge Graphs for Science
The Challenge of Deeper Knowledge Graphs for SciencePaul Groth
 
More ways of symbol grounding for knowledge graphs?
More ways of symbol grounding for knowledge graphs?More ways of symbol grounding for knowledge graphs?
More ways of symbol grounding for knowledge graphs?Paul Groth
 
Diversity and Depth: Implementing AI across many long tail domains
Diversity and Depth: Implementing AI across many long tail domainsDiversity and Depth: Implementing AI across many long tail domains
Diversity and Depth: Implementing AI across many long tail domainsPaul Groth
 
Progressive Provenance Capture Through Re-computation
Progressive Provenance Capture Through Re-computationProgressive Provenance Capture Through Re-computation
Progressive Provenance Capture Through Re-computationPaul Groth
 
From Text to Data to the World: The Future of Knowledge Graphs
From Text to Data to the World: The Future of Knowledge GraphsFrom Text to Data to the World: The Future of Knowledge Graphs
From Text to Data to the World: The Future of Knowledge GraphsPaul Groth
 
Combining Explicit and Latent Web Semantics for Maintaining Knowledge Graphs
Combining Explicit and Latent Web Semantics for Maintaining Knowledge GraphsCombining Explicit and Latent Web Semantics for Maintaining Knowledge Graphs
Combining Explicit and Latent Web Semantics for Maintaining Knowledge GraphsPaul Groth
 
The need for a transparent data supply chain
The need for a transparent data supply chainThe need for a transparent data supply chain
The need for a transparent data supply chainPaul Groth
 
Knowledge graph construction for research & medicine
Knowledge graph construction for research & medicineKnowledge graph construction for research & medicine
Knowledge graph construction for research & medicinePaul Groth
 
The Roots: Linked data and the foundations of successful Agriculture Data
The Roots: Linked data and the foundations of successful Agriculture DataThe Roots: Linked data and the foundations of successful Agriculture Data
The Roots: Linked data and the foundations of successful Agriculture DataPaul Groth
 

More from Paul Groth (20)

Data Curation and Debugging for Data Centric AI
Data Curation and Debugging for Data Centric AIData Curation and Debugging for Data Centric AI
Data Curation and Debugging for Data Centric AI
 
Content + Signals: The value of the entire data estate for machine learning
Content + Signals: The value of the entire data estate for machine learningContent + Signals: The value of the entire data estate for machine learning
Content + Signals: The value of the entire data estate for machine learning
 
Data Communities - reusable data in and outside your organization.
Data Communities - reusable data in and outside your organization.Data Communities - reusable data in and outside your organization.
Data Communities - reusable data in and outside your organization.
 
Minimal viable-datareuse-czi
Minimal viable-datareuse-cziMinimal viable-datareuse-czi
Minimal viable-datareuse-czi
 
Knowledge Graph Maintenance
Knowledge Graph MaintenanceKnowledge Graph Maintenance
Knowledge Graph Maintenance
 
Knowledge Graph Futures
Knowledge Graph FuturesKnowledge Graph Futures
Knowledge Graph Futures
 
Knowledge Graph Maintenance
Knowledge Graph MaintenanceKnowledge Graph Maintenance
Knowledge Graph Maintenance
 
Thoughts on Knowledge Graphs & Deeper Provenance
Thoughts on Knowledge Graphs  & Deeper ProvenanceThoughts on Knowledge Graphs  & Deeper Provenance
Thoughts on Knowledge Graphs & Deeper Provenance
 
Thinking About the Making of Data
Thinking About the Making of DataThinking About the Making of Data
Thinking About the Making of Data
 
End-to-End Learning for Answering Structured Queries Directly over Text
End-to-End Learning for  Answering Structured Queries Directly over Text End-to-End Learning for  Answering Structured Queries Directly over Text
End-to-End Learning for Answering Structured Queries Directly over Text
 
From Data Search to Data Showcasing
From Data Search to Data ShowcasingFrom Data Search to Data Showcasing
From Data Search to Data Showcasing
 
The Challenge of Deeper Knowledge Graphs for Science
The Challenge of Deeper Knowledge Graphs for ScienceThe Challenge of Deeper Knowledge Graphs for Science
The Challenge of Deeper Knowledge Graphs for Science
 
More ways of symbol grounding for knowledge graphs?
More ways of symbol grounding for knowledge graphs?More ways of symbol grounding for knowledge graphs?
More ways of symbol grounding for knowledge graphs?
 
Diversity and Depth: Implementing AI across many long tail domains
Diversity and Depth: Implementing AI across many long tail domainsDiversity and Depth: Implementing AI across many long tail domains
Diversity and Depth: Implementing AI across many long tail domains
 
Progressive Provenance Capture Through Re-computation
Progressive Provenance Capture Through Re-computationProgressive Provenance Capture Through Re-computation
Progressive Provenance Capture Through Re-computation
 
From Text to Data to the World: The Future of Knowledge Graphs
From Text to Data to the World: The Future of Knowledge GraphsFrom Text to Data to the World: The Future of Knowledge Graphs
From Text to Data to the World: The Future of Knowledge Graphs
 
Combining Explicit and Latent Web Semantics for Maintaining Knowledge Graphs
Combining Explicit and Latent Web Semantics for Maintaining Knowledge GraphsCombining Explicit and Latent Web Semantics for Maintaining Knowledge Graphs
Combining Explicit and Latent Web Semantics for Maintaining Knowledge Graphs
 
The need for a transparent data supply chain
The need for a transparent data supply chainThe need for a transparent data supply chain
The need for a transparent data supply chain
 
Knowledge graph construction for research & medicine
Knowledge graph construction for research & medicineKnowledge graph construction for research & medicine
Knowledge graph construction for research & medicine
 
The Roots: Linked data and the foundations of successful Agriculture Data
The Roots: Linked data and the foundations of successful Agriculture DataThe Roots: Linked data and the foundations of successful Agriculture Data
The Roots: Linked data and the foundations of successful Agriculture Data
 

Recently uploaded

How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 

Recently uploaded (20)

How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 

Elsevier’s Healthcare Knowledge Graph

  • 1. Elsevier’s Healthcare Knowledge Graph Alex DeJong, Radmila Bord, Will Dowling, Rinke Hoekstra, Ryan Moquin, Charlie O, Mevan Samarasinghe, Paul Snyder, Craig Stanley, Anna Tordai, Michael Trefry, and Paul Groth. @pgroth | @elsevierlabs October 10, 2018 The Case for Enterprise Linked Data Standards
  • 2. “A global information analytics business” 2
  • 3. Knowledge Graphs at Elsevier 3
  • 4. A Health Care Knowledge Graph 4 What types of questions do clinicians ask? Spans Entity Types - Drugs - Diagnosis - Symptoms - Phenotypes - Diseases - …
  • 5. H-Graph: The Elsevier Health Knowledge Graph 400K+ medical concepts with relations and extensive mappings to industry vocabularies and multi-language support 4.9M+ semantic relations extracted from medical literature using NLP and convolutional neural networks Deep and expressive graph model extends relations with qualitative and quantitative context Graph-based knowledge representations power advanced clinical decision support applications
  • 6. Deeper Data Lies in Products
  • 7. Deeper Data Lies in Products But how do we get at it with minimal impact to current workflows?
  • 8. Use Linked Data to Integrate 8
  • 9. Linked Data Principles are under specified • What syntax do you provide and as a consumer can you expect? • What names spaces do you use? • How do you link to single sign-on? • What links should you set? 9
  • 10. Elsevier Linked Data Standards 10
  • 11. Elsevier Linked Data Standards 11
  • 12. Elsevier Linked Data Standards 12
  • 13. Videos and Documents Patient Education Drug Database Gold Standard Care Plans Order Sets Clinical Trial Data MACRO Radiology Images StatDX Pathology Images ExpertPath Books and Journals ScienceDirect ICD-10 RxNorm LOINC SNOMED MeSH H-Graph Core Graph Database External Vocabularies H-Graph Core Clinical Guidelines LD API LD API LDAPI LDAPI LDAPI LD API LD API LDAPI LD API LD API LD API Patient Journey Patient Intake Suspected Diagnosis Diagnostic Test Confirmed Diagnosis Treatment Plan Treatment Delivery Discharge & Ongoing Care Elsevier Patient Journey Products and ACDS Differential Diagnosis Alerts Image Analysis Pathways Order Sets Care Plans Patient Engagement Skills & eLearning Clinical Overviews ClinicalKey Reference Gold Standard H-Graph: The Elsevier Health Knowledge Graph H-Graph Core connects Elsevier products, data, and healthcare content to power ACDS Pre-Visit Symptom Checkers (e.g., Arezzo) Patient-Centered Apps (e.g., chronic disease management for diabetes)
  • 14. Result: a unified but distributed knowledge graph 14
  • 17. Thank you Paul Groth | @pgroth @elsevierlabs

Editor's Notes

  1. Data is curated, maintained, and processed on different platforms
  2. Data is curated, maintained, and processed on different platforms
  3. Lesson learned
  4. Lesson learned