SlideShare una empresa de Scribd logo
1 de 27
Descargar para leer sin conexión
Towards a Web of Clinical Knowledge 
Experience gained from DoDTAPS Research Project 
Claude Nanjo 
December 2014 SemanticWeb.com
Overview 
•The healthcare challenge 
•Exposing clinical knowledge on the Web as RDF 
•Transforming clinical content –An example from the DoDTAPS project 
•Getting closer to this vision
The Challenge 
The US Healthcare System is highly heterogeneous. 
How do we converge?
The Rapid Growth of Health Knowledge 
Information will need to be sharable and machine-processableif it is to scale
Exposed and Richly Linked Knowledge …
… That is computable, Reusable, and Actionable 
CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
This Ecosystem Already Exists! 
Computing
EXPERIENCE GAINED FROM DODAND VA RESEARCH PROJECTS
Our Focus Today 
CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
TAPS RDF Pipeline 
CHCS 
Model Transformation 
ICD9 to SNOMED 
DX translation 
NLP parse of 
Med SIG into 
discrete data 
Name parse 
into discrete data 
Address parse 
into discrete data 
graph 
alignment 
Cluster 
Node 
Cluster 
Node 
Cluster 
Node 
Graph Federation 
Graph 
transform & 
distribution 
Hadoop 
csv 
Clients 
Graph Clients
RDF Pipeline Definition 
For more information on the RDF Pipeline Framework, please visit: 
http://rdfpipeline.org/
Deterministic Model Transformation: CHCS Address to FHIR Address
Non-Deterministic Model Transformation: From CHCS SIG to FHIR
Leveraging SPARQL for Terminology Alignment
Deterministic, Declarative, Reusable Transformation
WHAT’S NEXT 
A multi-pronged approach
Capture Knowledge Declaratively 
CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
Why we need standards to guide clinical capture 
•RDF makes the processing of clinical information staight-forward. 
–Lots of tooling 
–It is a known semantic model with a number of supported representations (RDF/XML, Turtle, …) 
•RDF cannot solve all problems 
–Transformations are expensive even with RDF 
–Hard to maintain 
–Transformations are lossyand not always deterministic 
•Need standards to converge on 
–Standards that allows convergence towards a common clinical baseline. 
–Great strides being made in the standards world 
–Customization and localization increase TCO
A few encouraging developments 
•The adoption of FHIR (Fast Healthcare Interoperability Resources) –an implementer-friendly resource-oriented, REST-based clinical resource framework 
–http://www.hl7.org/implement/standards/fhir/summary.html 
•The RDF Semantic Interoperability SWG at HL7 
–Goal: To help expose HL7 standards using OWL/RDF 
–Discussion on an OWL ontology for FHIR and a FHIR RDF representation 
•Convergence of two existing communities 
–HL7 
–W3C Semantic Web for Health Care and Life Sciences Group 
–http://wiki.hl7.org/index.php?title=RDF_for_Semantic_Interoperability
Expose Resources and Reusable Logic 
CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
Yosemite part-4 webinar-final
Yosemite part-4 webinar-final
Encouraging developments 
•ONC’s Clinical Quality Framework Initiative 
–The harmonization of CDS and Clinical Quality models through FHIR 
–CDS ontologies? 
•CDS Collaborative 
–Collaboration between the University of Utah (OpenCDS) and Cognitive Medical Systems (Socratic Grid) 
–Declarative rules to be exposed on the Web 
–Enable access to clinical decision support services that leverage the web and RDF
Knowledge Discovery 
CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
Other prototypes from the TAPS project 
•Record linkage through FHIR normalization using RDF 
–CHCS and VISTA 
•Patient Cohort Classification System 
•PTSD Capacity Planner
Provide Support At the Point of Care 
CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
The Ask 
•Help us get there, get involved in an initiative 
•Engage the community 
•Contribute to Open Linked Knowledge

Más contenido relacionado

La actualidad más candente

Introduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmersIntroduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmersKevin Lee
 
An Identifier Scheme for the Digitising Scotland Project
An Identifier Scheme for the Digitising Scotland ProjectAn Identifier Scheme for the Digitising Scotland Project
An Identifier Scheme for the Digitising Scotland ProjectAlasdair Gray
 
Linked Data efforts for data standards in biopharma and healthcare
Linked Data efforts for data standards in biopharma and healthcareLinked Data efforts for data standards in biopharma and healthcare
Linked Data efforts for data standards in biopharma and healthcareKerstin Forsberg
 
Sparql a simple knowledge query
Sparql  a simple knowledge querySparql  a simple knowledge query
Sparql a simple knowledge queryStanley Wang
 
New Initiatives - Geoffrey Bilder - London LIVE 2017
New Initiatives - Geoffrey Bilder - London LIVE 2017New Initiatives - Geoffrey Bilder - London LIVE 2017
New Initiatives - Geoffrey Bilder - London LIVE 2017Crossref
 
2014 CrossRef Workshops: Support Update and Multiple Resolution Overview
2014 CrossRef Workshops: Support Update and Multiple Resolution Overview2014 CrossRef Workshops: Support Update and Multiple Resolution Overview
2014 CrossRef Workshops: Support Update and Multiple Resolution OverviewCrossref
 
Rule-based Capture/Storage of Scientific Data from PDF Files and Export using...
Rule-based Capture/Storage of Scientific Data from PDF Files and Export using...Rule-based Capture/Storage of Scientific Data from PDF Files and Export using...
Rule-based Capture/Storage of Scientific Data from PDF Files and Export using...Stuart Chalk
 
Crossref XML and tools for small publishers (EASE Conference 2018)
Crossref XML and tools for small publishers (EASE Conference 2018)Crossref XML and tools for small publishers (EASE Conference 2018)
Crossref XML and tools for small publishers (EASE Conference 2018)Crossref
 
CDISC2RDF overview with examples
CDISC2RDF overview with examplesCDISC2RDF overview with examples
CDISC2RDF overview with examplesKerstin Forsberg
 
The HCLS Community Profile: Describing Datasets, Versions, and Distributions
The HCLS Community Profile: Describing Datasets, Versions, and DistributionsThe HCLS Community Profile: Describing Datasets, Versions, and Distributions
The HCLS Community Profile: Describing Datasets, Versions, and DistributionsAlasdair Gray
 
Validata: A tool for testing profile conformance
Validata: A tool for testing profile conformanceValidata: A tool for testing profile conformance
Validata: A tool for testing profile conformanceAlasdair Gray
 
Resource description framework
Resource description frameworkResource description framework
Resource description frameworkStanley Wang
 
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataA Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataStuart Chalk
 
Scientific Units in the Electronic Age
Scientific Units in the Electronic AgeScientific Units in the Electronic Age
Scientific Units in the Electronic AgeStuart Chalk
 
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...Stuart Chalk
 
The Bounties of Semantic Data Integration for the Enterprise
The Bounties of Semantic Data Integration for the Enterprise The Bounties of Semantic Data Integration for the Enterprise
The Bounties of Semantic Data Integration for the Enterprise Ontotext
 
Enterprise knowledge graphs
Enterprise knowledge graphsEnterprise knowledge graphs
Enterprise knowledge graphsSören Auer
 
The DATS model: datasets descriptions for data discovery in DataMed
The DATS model: datasets descriptions for data discovery in DataMedThe DATS model: datasets descriptions for data discovery in DataMed
The DATS model: datasets descriptions for data discovery in DataMedAlejandra Gonzalez-Beltran
 

La actualidad más candente (20)

Introduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmersIntroduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmers
 
An Identifier Scheme for the Digitising Scotland Project
An Identifier Scheme for the Digitising Scotland ProjectAn Identifier Scheme for the Digitising Scotland Project
An Identifier Scheme for the Digitising Scotland Project
 
Linked Data efforts for data standards in biopharma and healthcare
Linked Data efforts for data standards in biopharma and healthcareLinked Data efforts for data standards in biopharma and healthcare
Linked Data efforts for data standards in biopharma and healthcare
 
Sparql a simple knowledge query
Sparql  a simple knowledge querySparql  a simple knowledge query
Sparql a simple knowledge query
 
New Initiatives - Geoffrey Bilder - London LIVE 2017
New Initiatives - Geoffrey Bilder - London LIVE 2017New Initiatives - Geoffrey Bilder - London LIVE 2017
New Initiatives - Geoffrey Bilder - London LIVE 2017
 
2014 CrossRef Workshops: Support Update and Multiple Resolution Overview
2014 CrossRef Workshops: Support Update and Multiple Resolution Overview2014 CrossRef Workshops: Support Update and Multiple Resolution Overview
2014 CrossRef Workshops: Support Update and Multiple Resolution Overview
 
Rule-based Capture/Storage of Scientific Data from PDF Files and Export using...
Rule-based Capture/Storage of Scientific Data from PDF Files and Export using...Rule-based Capture/Storage of Scientific Data from PDF Files and Export using...
Rule-based Capture/Storage of Scientific Data from PDF Files and Export using...
 
Crossref XML and tools for small publishers (EASE Conference 2018)
Crossref XML and tools for small publishers (EASE Conference 2018)Crossref XML and tools for small publishers (EASE Conference 2018)
Crossref XML and tools for small publishers (EASE Conference 2018)
 
CDISC2RDF overview with examples
CDISC2RDF overview with examplesCDISC2RDF overview with examples
CDISC2RDF overview with examples
 
The HCLS Community Profile: Describing Datasets, Versions, and Distributions
The HCLS Community Profile: Describing Datasets, Versions, and DistributionsThe HCLS Community Profile: Describing Datasets, Versions, and Distributions
The HCLS Community Profile: Describing Datasets, Versions, and Distributions
 
Validata: A tool for testing profile conformance
Validata: A tool for testing profile conformanceValidata: A tool for testing profile conformance
Validata: A tool for testing profile conformance
 
Resource description framework
Resource description frameworkResource description framework
Resource description framework
 
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataA Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
 
Scientific Units in the Electronic Age
Scientific Units in the Electronic AgeScientific Units in the Electronic Age
Scientific Units in the Electronic Age
 
DTL Partners Event - FAIR Data Tech overview - Day 1
DTL Partners Event - FAIR Data Tech overview - Day 1DTL Partners Event - FAIR Data Tech overview - Day 1
DTL Partners Event - FAIR Data Tech overview - Day 1
 
GraphDB
GraphDBGraphDB
GraphDB
 
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
Toward Semantic Representation of Science in Electronic Laboratory Notebooks ...
 
The Bounties of Semantic Data Integration for the Enterprise
The Bounties of Semantic Data Integration for the Enterprise The Bounties of Semantic Data Integration for the Enterprise
The Bounties of Semantic Data Integration for the Enterprise
 
Enterprise knowledge graphs
Enterprise knowledge graphsEnterprise knowledge graphs
Enterprise knowledge graphs
 
The DATS model: datasets descriptions for data discovery in DataMed
The DATS model: datasets descriptions for data discovery in DataMedThe DATS model: datasets descriptions for data discovery in DataMed
The DATS model: datasets descriptions for data discovery in DataMed
 

Destacado

Enterprise Data World 2016 and CDO Vision Mural Summary
Enterprise Data World 2016 and CDO Vision Mural SummaryEnterprise Data World 2016 and CDO Vision Mural Summary
Enterprise Data World 2016 and CDO Vision Mural SummaryDATAVERSITY
 
Using Semantic Technology to Drive Agile Analytics - SLIDES
Using Semantic Technology to Drive Agile Analytics - SLIDESUsing Semantic Technology to Drive Agile Analytics - SLIDES
Using Semantic Technology to Drive Agile Analytics - SLIDESDATAVERSITY
 
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...DATAVERSITY
 
Enterprise Data World: Data Governance - The Four Critical Success Factors
Enterprise Data World: Data Governance - The Four Critical Success FactorsEnterprise Data World: Data Governance - The Four Critical Success Factors
Enterprise Data World: Data Governance - The Four Critical Success FactorsDATAVERSITY
 
Data-Ed Slides: Data Architecture Strategies - Constructing Your Data Garden
Data-Ed Slides: Data Architecture Strategies - Constructing Your Data GardenData-Ed Slides: Data Architecture Strategies - Constructing Your Data Garden
Data-Ed Slides: Data Architecture Strategies - Constructing Your Data GardenDATAVERSITY
 
RWDG Webinar: The New Non-Invasive Data Governance Framework
RWDG Webinar: The New Non-Invasive Data Governance FrameworkRWDG Webinar: The New Non-Invasive Data Governance Framework
RWDG Webinar: The New Non-Invasive Data Governance FrameworkDATAVERSITY
 
EDW Webinar: Managing Change for Successful Data Governance
EDW Webinar: Managing Change for Successful Data GovernanceEDW Webinar: Managing Change for Successful Data Governance
EDW Webinar: Managing Change for Successful Data GovernanceDATAVERSITY
 
Enterprise Data World Webinar: How to Get Your MDM Program Up & Running
Enterprise Data World Webinar: How to Get Your MDM Program Up & RunningEnterprise Data World Webinar: How to Get Your MDM Program Up & Running
Enterprise Data World Webinar: How to Get Your MDM Program Up & RunningDATAVERSITY
 
Smart Data Webinar: Artificial General Intelligence - When Can I Get It?
Smart Data Webinar: Artificial General Intelligence - When Can I Get It?Smart Data Webinar: Artificial General Intelligence - When Can I Get It?
Smart Data Webinar: Artificial General Intelligence - When Can I Get It?DATAVERSITY
 
LDM Webinar: Data Modeling & Business Intelligence
LDM Webinar: Data Modeling & Business IntelligenceLDM Webinar: Data Modeling & Business Intelligence
LDM Webinar: Data Modeling & Business IntelligenceDATAVERSITY
 
Enterprise Data World Webinar: Mastering & Referencing Data for the Enterprise
Enterprise Data World Webinar: Mastering & Referencing Data for the EnterpriseEnterprise Data World Webinar: Mastering & Referencing Data for the Enterprise
Enterprise Data World Webinar: Mastering & Referencing Data for the EnterpriseDATAVERSITY
 
Focus on Your Analysis, Not Your SQL Code
Focus on Your Analysis, Not Your SQL CodeFocus on Your Analysis, Not Your SQL Code
Focus on Your Analysis, Not Your SQL CodeDATAVERSITY
 
DI&A Slides: Descriptive, Prescriptive, and Predictive Analytics
DI&A Slides: Descriptive, Prescriptive, and Predictive AnalyticsDI&A Slides: Descriptive, Prescriptive, and Predictive Analytics
DI&A Slides: Descriptive, Prescriptive, and Predictive AnalyticsDATAVERSITY
 
Smart Data Slides: Data Science and Business Analysis - A Look at Best Practi...
Smart Data Slides: Data Science and Business Analysis - A Look at Best Practi...Smart Data Slides: Data Science and Business Analysis - A Look at Best Practi...
Smart Data Slides: Data Science and Business Analysis - A Look at Best Practi...DATAVERSITY
 

Destacado (14)

Enterprise Data World 2016 and CDO Vision Mural Summary
Enterprise Data World 2016 and CDO Vision Mural SummaryEnterprise Data World 2016 and CDO Vision Mural Summary
Enterprise Data World 2016 and CDO Vision Mural Summary
 
Using Semantic Technology to Drive Agile Analytics - SLIDES
Using Semantic Technology to Drive Agile Analytics - SLIDESUsing Semantic Technology to Drive Agile Analytics - SLIDES
Using Semantic Technology to Drive Agile Analytics - SLIDES
 
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...
WEBINAR: The Yosemite Project PART 6 -- Data-Driven Biomedical Research with ...
 
Enterprise Data World: Data Governance - The Four Critical Success Factors
Enterprise Data World: Data Governance - The Four Critical Success FactorsEnterprise Data World: Data Governance - The Four Critical Success Factors
Enterprise Data World: Data Governance - The Four Critical Success Factors
 
Data-Ed Slides: Data Architecture Strategies - Constructing Your Data Garden
Data-Ed Slides: Data Architecture Strategies - Constructing Your Data GardenData-Ed Slides: Data Architecture Strategies - Constructing Your Data Garden
Data-Ed Slides: Data Architecture Strategies - Constructing Your Data Garden
 
RWDG Webinar: The New Non-Invasive Data Governance Framework
RWDG Webinar: The New Non-Invasive Data Governance FrameworkRWDG Webinar: The New Non-Invasive Data Governance Framework
RWDG Webinar: The New Non-Invasive Data Governance Framework
 
EDW Webinar: Managing Change for Successful Data Governance
EDW Webinar: Managing Change for Successful Data GovernanceEDW Webinar: Managing Change for Successful Data Governance
EDW Webinar: Managing Change for Successful Data Governance
 
Enterprise Data World Webinar: How to Get Your MDM Program Up & Running
Enterprise Data World Webinar: How to Get Your MDM Program Up & RunningEnterprise Data World Webinar: How to Get Your MDM Program Up & Running
Enterprise Data World Webinar: How to Get Your MDM Program Up & Running
 
Smart Data Webinar: Artificial General Intelligence - When Can I Get It?
Smart Data Webinar: Artificial General Intelligence - When Can I Get It?Smart Data Webinar: Artificial General Intelligence - When Can I Get It?
Smart Data Webinar: Artificial General Intelligence - When Can I Get It?
 
LDM Webinar: Data Modeling & Business Intelligence
LDM Webinar: Data Modeling & Business IntelligenceLDM Webinar: Data Modeling & Business Intelligence
LDM Webinar: Data Modeling & Business Intelligence
 
Enterprise Data World Webinar: Mastering & Referencing Data for the Enterprise
Enterprise Data World Webinar: Mastering & Referencing Data for the EnterpriseEnterprise Data World Webinar: Mastering & Referencing Data for the Enterprise
Enterprise Data World Webinar: Mastering & Referencing Data for the Enterprise
 
Focus on Your Analysis, Not Your SQL Code
Focus on Your Analysis, Not Your SQL CodeFocus on Your Analysis, Not Your SQL Code
Focus on Your Analysis, Not Your SQL Code
 
DI&A Slides: Descriptive, Prescriptive, and Predictive Analytics
DI&A Slides: Descriptive, Prescriptive, and Predictive AnalyticsDI&A Slides: Descriptive, Prescriptive, and Predictive Analytics
DI&A Slides: Descriptive, Prescriptive, and Predictive Analytics
 
Smart Data Slides: Data Science and Business Analysis - A Look at Best Practi...
Smart Data Slides: Data Science and Business Analysis - A Look at Best Practi...Smart Data Slides: Data Science and Business Analysis - A Look at Best Practi...
Smart Data Slides: Data Science and Business Analysis - A Look at Best Practi...
 

Similar a Yosemite part-4 webinar-final

Linking Open Government Data at Scale
Linking Open Government Data at Scale Linking Open Government Data at Scale
Linking Open Government Data at Scale Bernadette Hyland-Wood
 
CSHALS 2010 W3C Semanic Web Tutorial
CSHALS 2010 W3C Semanic Web TutorialCSHALS 2010 W3C Semanic Web Tutorial
CSHALS 2010 W3C Semanic Web TutorialLeeFeigenbaum
 
Data Integration And Visualization
Data Integration And VisualizationData Integration And Visualization
Data Integration And VisualizationIvan Ermilov
 
Decoding the Acronyms in Clinical Data Standards
Decoding the Acronyms in Clinical Data StandardsDecoding the Acronyms in Clinical Data Standards
Decoding the Acronyms in Clinical Data Standardsd-Wise Technologies
 
Wed roman tut_open_datapub
Wed roman tut_open_datapubWed roman tut_open_datapub
Wed roman tut_open_datapubeswcsummerschool
 
SmartData Webinar Slides: The Yosemite Project for Healthcare Information int...
SmartData Webinar Slides: The Yosemite Project for Healthcare Information int...SmartData Webinar Slides: The Yosemite Project for Healthcare Information int...
SmartData Webinar Slides: The Yosemite Project for Healthcare Information int...DATAVERSITY
 
Case study of Rujhaan.com (A social news app )
Case study of Rujhaan.com (A social news app )Case study of Rujhaan.com (A social news app )
Case study of Rujhaan.com (A social news app )Rahul Jain
 
Metadata for researchers
Metadata for researchers Metadata for researchers
Metadata for researchers Getaneh Alemu
 
A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...
A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...
A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...Ilkay Altintas, Ph.D.
 
Knowledge Graph Construction and the Role of DBPedia
Knowledge Graph Construction and the Role of DBPediaKnowledge Graph Construction and the Role of DBPedia
Knowledge Graph Construction and the Role of DBPediaPaul Groth
 
Health Datapalooza 2013: Open Government Data - Natasha Noy
Health Datapalooza 2013: Open Government Data - Natasha NoyHealth Datapalooza 2013: Open Government Data - Natasha Noy
Health Datapalooza 2013: Open Government Data - Natasha NoyHealth Data Consortium
 
SEMLIB Final Conference | DERI presentation
SEMLIB Final Conference | DERI presentationSEMLIB Final Conference | DERI presentation
SEMLIB Final Conference | DERI presentationSemLib Project
 
Why I don't use Semantic Web technologies anymore, event if they still influe...
Why I don't use Semantic Web technologies anymore, event if they still influe...Why I don't use Semantic Web technologies anymore, event if they still influe...
Why I don't use Semantic Web technologies anymore, event if they still influe...Gautier Poupeau
 
Semantic Web use cases in outcomes research
Semantic Web use cases in outcomes researchSemantic Web use cases in outcomes research
Semantic Web use cases in outcomes researchChimezie Ogbuji
 
Clariah Tech Day: Controlled Vocabularies and Ontologies in Dataverse
Clariah Tech Day: Controlled Vocabularies and Ontologies in DataverseClariah Tech Day: Controlled Vocabularies and Ontologies in Dataverse
Clariah Tech Day: Controlled Vocabularies and Ontologies in Dataversevty
 
Exploring the Semantic Web
Exploring the Semantic WebExploring the Semantic Web
Exploring the Semantic WebRoberto García
 
Data Harmonization for a Molecularly Driven Health System
Data Harmonization for a Molecularly Driven Health SystemData Harmonization for a Molecularly Driven Health System
Data Harmonization for a Molecularly Driven Health SystemWarren Kibbe
 
RDF-Gen: Generating RDF from streaming and archival data
RDF-Gen: Generating RDF from streaming and archival dataRDF-Gen: Generating RDF from streaming and archival data
RDF-Gen: Generating RDF from streaming and archival dataGiorgos Santipantakis
 

Similar a Yosemite part-4 webinar-final (20)

Linking Open Government Data at Scale
Linking Open Government Data at Scale Linking Open Government Data at Scale
Linking Open Government Data at Scale
 
CSHALS 2010 W3C Semanic Web Tutorial
CSHALS 2010 W3C Semanic Web TutorialCSHALS 2010 W3C Semanic Web Tutorial
CSHALS 2010 W3C Semanic Web Tutorial
 
Data Integration And Visualization
Data Integration And VisualizationData Integration And Visualization
Data Integration And Visualization
 
Decoding the Acronyms in Clinical Data Standards
Decoding the Acronyms in Clinical Data StandardsDecoding the Acronyms in Clinical Data Standards
Decoding the Acronyms in Clinical Data Standards
 
Wed roman tut_open_datapub
Wed roman tut_open_datapubWed roman tut_open_datapub
Wed roman tut_open_datapub
 
SmartData Webinar Slides: The Yosemite Project for Healthcare Information int...
SmartData Webinar Slides: The Yosemite Project for Healthcare Information int...SmartData Webinar Slides: The Yosemite Project for Healthcare Information int...
SmartData Webinar Slides: The Yosemite Project for Healthcare Information int...
 
Canadian health census to lod
Canadian health census to lodCanadian health census to lod
Canadian health census to lod
 
Case study of Rujhaan.com (A social news app )
Case study of Rujhaan.com (A social news app )Case study of Rujhaan.com (A social news app )
Case study of Rujhaan.com (A social news app )
 
Metadata for researchers
Metadata for researchers Metadata for researchers
Metadata for researchers
 
A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...
A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...
A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...
 
Knowledge Graph Construction and the Role of DBPedia
Knowledge Graph Construction and the Role of DBPediaKnowledge Graph Construction and the Role of DBPedia
Knowledge Graph Construction and the Role of DBPedia
 
Health Datapalooza 2013: Open Government Data - Natasha Noy
Health Datapalooza 2013: Open Government Data - Natasha NoyHealth Datapalooza 2013: Open Government Data - Natasha Noy
Health Datapalooza 2013: Open Government Data - Natasha Noy
 
SEMLIB Final Conference | DERI presentation
SEMLIB Final Conference | DERI presentationSEMLIB Final Conference | DERI presentation
SEMLIB Final Conference | DERI presentation
 
Why I don't use Semantic Web technologies anymore, event if they still influe...
Why I don't use Semantic Web technologies anymore, event if they still influe...Why I don't use Semantic Web technologies anymore, event if they still influe...
Why I don't use Semantic Web technologies anymore, event if they still influe...
 
Semantic Web use cases in outcomes research
Semantic Web use cases in outcomes researchSemantic Web use cases in outcomes research
Semantic Web use cases in outcomes research
 
Dive deep into your Data Pools
Dive deep into your Data PoolsDive deep into your Data Pools
Dive deep into your Data Pools
 
Clariah Tech Day: Controlled Vocabularies and Ontologies in Dataverse
Clariah Tech Day: Controlled Vocabularies and Ontologies in DataverseClariah Tech Day: Controlled Vocabularies and Ontologies in Dataverse
Clariah Tech Day: Controlled Vocabularies and Ontologies in Dataverse
 
Exploring the Semantic Web
Exploring the Semantic WebExploring the Semantic Web
Exploring the Semantic Web
 
Data Harmonization for a Molecularly Driven Health System
Data Harmonization for a Molecularly Driven Health SystemData Harmonization for a Molecularly Driven Health System
Data Harmonization for a Molecularly Driven Health System
 
RDF-Gen: Generating RDF from streaming and archival data
RDF-Gen: Generating RDF from streaming and archival dataRDF-Gen: Generating RDF from streaming and archival data
RDF-Gen: Generating RDF from streaming and archival data
 

Más de DATAVERSITY

Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...DATAVERSITY
 
Data at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceData at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
 
Exploring Levels of Data Literacy
Exploring Levels of Data LiteracyExploring Levels of Data Literacy
Exploring Levels of Data LiteracyDATAVERSITY
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
 
Make Data Work for You
Make Data Work for YouMake Data Work for You
Make Data Work for YouDATAVERSITY
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
 
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?DATAVERSITY
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling FundamentalsDATAVERSITY
 
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectShowing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectDATAVERSITY
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
 
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?DATAVERSITY
 
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
 
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsData Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
 
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayData Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
 
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics2023 Trends in Enterprise Analytics
2023 Trends in Enterprise AnalyticsDATAVERSITY
 
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?DATAVERSITY
 
Data Management Best Practices
Data Management Best PracticesData Management Best Practices
Data Management Best PracticesDATAVERSITY
 
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageMLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageDATAVERSITY
 
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...DATAVERSITY
 

Más de DATAVERSITY (20)

Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
 
Data at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceData at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and Governance
 
Exploring Levels of Data Literacy
Exploring Levels of Data LiteracyExploring Levels of Data Literacy
Exploring Levels of Data Literacy
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
 
Make Data Work for You
Make Data Work for YouMake Data Work for You
Make Data Work for You
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
 
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling Fundamentals
 
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectShowing ROI for Your Analytic Project
Showing ROI for Your Analytic Project
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
 
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?
 
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsData Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and Forwards
 
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayData Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement Today
 
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics
 
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?
 
Data Management Best Practices
Data Management Best PracticesData Management Best Practices
Data Management Best Practices
 
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageMLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive Advantage
 
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
Keeping the Pulse of Your Data – Why You Need Data Observability to Improve D...
 

Último

Assisted Living Care Residency - PapayaCare
Assisted Living Care Residency - PapayaCareAssisted Living Care Residency - PapayaCare
Assisted Living Care Residency - PapayaCareratilalthakkar704
 
Pharmacovigilance audits inspections.pptx
Pharmacovigilance audits inspections.pptxPharmacovigilance audits inspections.pptx
Pharmacovigilance audits inspections.pptxCliniminds India
 
FINAL PROJECT IN EMPOWERMENT TECHNOLOGIES 11
FINAL PROJECT IN EMPOWERMENT TECHNOLOGIES  11FINAL PROJECT IN EMPOWERMENT TECHNOLOGIES  11
FINAL PROJECT IN EMPOWERMENT TECHNOLOGIES 11crzljavier
 
Understanding Warts and Moles: Differences, Types, and Common Locations
Understanding Warts and Moles: Differences, Types, and Common LocationsUnderstanding Warts and Moles: Differences, Types, and Common Locations
Understanding Warts and Moles: Differences, Types, and Common LocationsNeha Sharma
 
Three Keys to a Successful Margin: Charges, Costs, and Labor
Three Keys to a Successful Margin: Charges, Costs, and LaborThree Keys to a Successful Margin: Charges, Costs, and Labor
Three Keys to a Successful Margin: Charges, Costs, and LaborHealth Catalyst
 
Eating Disorders in Athletes I Sports Psychology
Eating Disorders in Athletes I Sports PsychologyEating Disorders in Athletes I Sports Psychology
Eating Disorders in Athletes I Sports Psychologyshantisphysio
 
ACCA Version of AI & Healthcare: An Overview for the Curious
ACCA Version of AI & Healthcare: An Overview for the CuriousACCA Version of AI & Healthcare: An Overview for the Curious
ACCA Version of AI & Healthcare: An Overview for the CuriousKR_Barker
 
LARYNGEAL CANCER.pptx Prepared by Neha Kewat
LARYNGEAL CANCER.pptx  Prepared by Neha KewatLARYNGEAL CANCER.pptx  Prepared by Neha Kewat
LARYNGEAL CANCER.pptx Prepared by Neha KewatNehaKewat
 
CECT NECK NECK ANGIOGRAPHY CAROTID ANGIOGRAPHY
CECT NECK NECK ANGIOGRAPHY CAROTID ANGIOGRAPHYCECT NECK NECK ANGIOGRAPHY CAROTID ANGIOGRAPHY
CECT NECK NECK ANGIOGRAPHY CAROTID ANGIOGRAPHYRMC
 
EYE CANCER.pptx prepared by Neha kewat digital learning
EYE CANCER.pptx prepared by  Neha kewat digital learningEYE CANCER.pptx prepared by  Neha kewat digital learning
EYE CANCER.pptx prepared by Neha kewat digital learningNehaKewat
 
Diseases of the Respiratory System (J00-J99),.pptx
Diseases of the Respiratory System (J00-J99),.pptxDiseases of the Respiratory System (J00-J99),.pptx
Diseases of the Respiratory System (J00-J99),.pptxEMADABATHINI PRABHU TEJA
 
2024 Compliatric Webianr Series - Contracts and MOUs from a HRSA Perspective.pdf
2024 Compliatric Webianr Series - Contracts and MOUs from a HRSA Perspective.pdf2024 Compliatric Webianr Series - Contracts and MOUs from a HRSA Perspective.pdf
2024 Compliatric Webianr Series - Contracts and MOUs from a HRSA Perspective.pdfCompliatric Where Compliance Happens
 
Introduction to Evaluation and Skin Benefits
Introduction to Evaluation and Skin BenefitsIntroduction to Evaluation and Skin Benefits
Introduction to Evaluation and Skin Benefitssahilgabhane29
 
Empathy Is a Stress Response - Choose Compassion instead
Empathy Is a Stress Response - Choose Compassion insteadEmpathy Is a Stress Response - Choose Compassion instead
Empathy Is a Stress Response - Choose Compassion insteadAlex Clapson
 
Artificial Intelligence in Healthcare: Challenges, Risks, Benefits
Artificial Intelligence in Healthcare: Challenges, Risks, BenefitsArtificial Intelligence in Healthcare: Challenges, Risks, Benefits
Artificial Intelligence in Healthcare: Challenges, Risks, BenefitsIris Thiele Isip-Tan
 
Hematinics and Erythropoietin- Pharmacology of Hematinics
Hematinics and Erythropoietin- Pharmacology of HematinicsHematinics and Erythropoietin- Pharmacology of Hematinics
Hematinics and Erythropoietin- Pharmacology of Hematinicsnetraangadi2
 
ARTHRITIS.pptx Prepared by monika gopal Tutor
ARTHRITIS.pptx Prepared  by monika gopal TutorARTHRITIS.pptx Prepared  by monika gopal Tutor
ARTHRITIS.pptx Prepared by monika gopal TutorNehaKewat
 
Toothpaste for bleeding gums and sensitive teeth. Teeth whitening, Mouthwash....
Toothpaste for bleeding gums and sensitive teeth. Teeth whitening, Mouthwash....Toothpaste for bleeding gums and sensitive teeth. Teeth whitening, Mouthwash....
Toothpaste for bleeding gums and sensitive teeth. Teeth whitening, Mouthwash....sharyurangari111
 

Último (20)

Assisted Living Care Residency - PapayaCare
Assisted Living Care Residency - PapayaCareAssisted Living Care Residency - PapayaCare
Assisted Living Care Residency - PapayaCare
 
Pharmacovigilance audits inspections.pptx
Pharmacovigilance audits inspections.pptxPharmacovigilance audits inspections.pptx
Pharmacovigilance audits inspections.pptx
 
FINAL PROJECT IN EMPOWERMENT TECHNOLOGIES 11
FINAL PROJECT IN EMPOWERMENT TECHNOLOGIES  11FINAL PROJECT IN EMPOWERMENT TECHNOLOGIES  11
FINAL PROJECT IN EMPOWERMENT TECHNOLOGIES 11
 
Annual Training
Annual TrainingAnnual Training
Annual Training
 
Understanding Warts and Moles: Differences, Types, and Common Locations
Understanding Warts and Moles: Differences, Types, and Common LocationsUnderstanding Warts and Moles: Differences, Types, and Common Locations
Understanding Warts and Moles: Differences, Types, and Common Locations
 
Three Keys to a Successful Margin: Charges, Costs, and Labor
Three Keys to a Successful Margin: Charges, Costs, and LaborThree Keys to a Successful Margin: Charges, Costs, and Labor
Three Keys to a Successful Margin: Charges, Costs, and Labor
 
Eating Disorders in Athletes I Sports Psychology
Eating Disorders in Athletes I Sports PsychologyEating Disorders in Athletes I Sports Psychology
Eating Disorders in Athletes I Sports Psychology
 
ACCA Version of AI & Healthcare: An Overview for the Curious
ACCA Version of AI & Healthcare: An Overview for the CuriousACCA Version of AI & Healthcare: An Overview for the Curious
ACCA Version of AI & Healthcare: An Overview for the Curious
 
LARYNGEAL CANCER.pptx Prepared by Neha Kewat
LARYNGEAL CANCER.pptx  Prepared by Neha KewatLARYNGEAL CANCER.pptx  Prepared by Neha Kewat
LARYNGEAL CANCER.pptx Prepared by Neha Kewat
 
CECT NECK NECK ANGIOGRAPHY CAROTID ANGIOGRAPHY
CECT NECK NECK ANGIOGRAPHY CAROTID ANGIOGRAPHYCECT NECK NECK ANGIOGRAPHY CAROTID ANGIOGRAPHY
CECT NECK NECK ANGIOGRAPHY CAROTID ANGIOGRAPHY
 
EYE CANCER.pptx prepared by Neha kewat digital learning
EYE CANCER.pptx prepared by  Neha kewat digital learningEYE CANCER.pptx prepared by  Neha kewat digital learning
EYE CANCER.pptx prepared by Neha kewat digital learning
 
Diseases of the Respiratory System (J00-J99),.pptx
Diseases of the Respiratory System (J00-J99),.pptxDiseases of the Respiratory System (J00-J99),.pptx
Diseases of the Respiratory System (J00-J99),.pptx
 
2024 Compliatric Webianr Series - Contracts and MOUs from a HRSA Perspective.pdf
2024 Compliatric Webianr Series - Contracts and MOUs from a HRSA Perspective.pdf2024 Compliatric Webianr Series - Contracts and MOUs from a HRSA Perspective.pdf
2024 Compliatric Webianr Series - Contracts and MOUs from a HRSA Perspective.pdf
 
Painting Rats White Angers Them to No End
Painting Rats White Angers Them to No EndPainting Rats White Angers Them to No End
Painting Rats White Angers Them to No End
 
Introduction to Evaluation and Skin Benefits
Introduction to Evaluation and Skin BenefitsIntroduction to Evaluation and Skin Benefits
Introduction to Evaluation and Skin Benefits
 
Empathy Is a Stress Response - Choose Compassion instead
Empathy Is a Stress Response - Choose Compassion insteadEmpathy Is a Stress Response - Choose Compassion instead
Empathy Is a Stress Response - Choose Compassion instead
 
Artificial Intelligence in Healthcare: Challenges, Risks, Benefits
Artificial Intelligence in Healthcare: Challenges, Risks, BenefitsArtificial Intelligence in Healthcare: Challenges, Risks, Benefits
Artificial Intelligence in Healthcare: Challenges, Risks, Benefits
 
Hematinics and Erythropoietin- Pharmacology of Hematinics
Hematinics and Erythropoietin- Pharmacology of HematinicsHematinics and Erythropoietin- Pharmacology of Hematinics
Hematinics and Erythropoietin- Pharmacology of Hematinics
 
ARTHRITIS.pptx Prepared by monika gopal Tutor
ARTHRITIS.pptx Prepared  by monika gopal TutorARTHRITIS.pptx Prepared  by monika gopal Tutor
ARTHRITIS.pptx Prepared by monika gopal Tutor
 
Toothpaste for bleeding gums and sensitive teeth. Teeth whitening, Mouthwash....
Toothpaste for bleeding gums and sensitive teeth. Teeth whitening, Mouthwash....Toothpaste for bleeding gums and sensitive teeth. Teeth whitening, Mouthwash....
Toothpaste for bleeding gums and sensitive teeth. Teeth whitening, Mouthwash....
 

Yosemite part-4 webinar-final

  • 1. Towards a Web of Clinical Knowledge Experience gained from DoDTAPS Research Project Claude Nanjo December 2014 SemanticWeb.com
  • 2. Overview •The healthcare challenge •Exposing clinical knowledge on the Web as RDF •Transforming clinical content –An example from the DoDTAPS project •Getting closer to this vision
  • 3. The Challenge The US Healthcare System is highly heterogeneous. How do we converge?
  • 4. The Rapid Growth of Health Knowledge Information will need to be sharable and machine-processableif it is to scale
  • 5. Exposed and Richly Linked Knowledge …
  • 6. … That is computable, Reusable, and Actionable CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
  • 7. This Ecosystem Already Exists! Computing
  • 8. EXPERIENCE GAINED FROM DODAND VA RESEARCH PROJECTS
  • 9. Our Focus Today CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
  • 10. TAPS RDF Pipeline CHCS Model Transformation ICD9 to SNOMED DX translation NLP parse of Med SIG into discrete data Name parse into discrete data Address parse into discrete data graph alignment Cluster Node Cluster Node Cluster Node Graph Federation Graph transform & distribution Hadoop csv Clients Graph Clients
  • 11. RDF Pipeline Definition For more information on the RDF Pipeline Framework, please visit: http://rdfpipeline.org/
  • 12. Deterministic Model Transformation: CHCS Address to FHIR Address
  • 14. Leveraging SPARQL for Terminology Alignment
  • 16. WHAT’S NEXT A multi-pronged approach
  • 17. Capture Knowledge Declaratively CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
  • 18. Why we need standards to guide clinical capture •RDF makes the processing of clinical information staight-forward. –Lots of tooling –It is a known semantic model with a number of supported representations (RDF/XML, Turtle, …) •RDF cannot solve all problems –Transformations are expensive even with RDF –Hard to maintain –Transformations are lossyand not always deterministic •Need standards to converge on –Standards that allows convergence towards a common clinical baseline. –Great strides being made in the standards world –Customization and localization increase TCO
  • 19. A few encouraging developments •The adoption of FHIR (Fast Healthcare Interoperability Resources) –an implementer-friendly resource-oriented, REST-based clinical resource framework –http://www.hl7.org/implement/standards/fhir/summary.html •The RDF Semantic Interoperability SWG at HL7 –Goal: To help expose HL7 standards using OWL/RDF –Discussion on an OWL ontology for FHIR and a FHIR RDF representation •Convergence of two existing communities –HL7 –W3C Semantic Web for Health Care and Life Sciences Group –http://wiki.hl7.org/index.php?title=RDF_for_Semantic_Interoperability
  • 20. Expose Resources and Reusable Logic CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
  • 23. Encouraging developments •ONC’s Clinical Quality Framework Initiative –The harmonization of CDS and Clinical Quality models through FHIR –CDS ontologies? •CDS Collaborative –Collaboration between the University of Utah (OpenCDS) and Cognitive Medical Systems (Socratic Grid) –Declarative rules to be exposed on the Web –Enable access to clinical decision support services that leverage the web and RDF
  • 24. Knowledge Discovery CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
  • 25. Other prototypes from the TAPS project •Record linkage through FHIR normalization using RDF –CHCS and VISTA •Patient Cohort Classification System •PTSD Capacity Planner
  • 26. Provide Support At the Point of Care CaptureExposeTransformProcess & AnalyzeCHCS$ ICD9$to$SNOMED$ DX$transla4on$ NLP$parse$of$$ Med$SIG$into$ $discrete$data$ Name$parse$ into$discrete$data$ Address$parse$ into$discrete$data$ graph$ alignment$ Cluster$ Node$ Cluster$ Node$ Cluster$ Node$ Graph$ transform$&$ distribu4on$ Hadoop$ $ csv$ Clients$ ActImprove Outcomes
  • 27. The Ask •Help us get there, get involved in an initiative •Engage the community •Contribute to Open Linked Knowledge