how linked data can speed information discovery
TRANSCRIPT
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How Linked Data Can SpeedInformation Discovery
Alex Meadows, CSpringBubba Puryear, Syngenta
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Agenda Linked Data Overview Case Study: Linked Data At Syngenta Q&A
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We don’t know your data, it’s Going to take us some time.
-or-We have so many other projectswe’re not sure when we can getto this request.
We’re not sure what we want,but can’t we have it all?
-or-Here’s our requirements, whencan we have this completed?
Business BI Team
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New source: weeks to monthsExisting source: days to weeks
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What is Linked Data? Coined in 2006 by Tim Berners-Lee Provides vocabulary for every data set Can combine vocabularies Highly structured in triple format
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Vocabulary: Classes
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Vocabulary: Properties
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Triples
Pale Ale
Beer
is a
Mark
Person
Mt. Carmel Brewing Co.
Brewer
Owner of
brews
is a
is a
Has First Name
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Triples: RDF/XML
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Option 1: Virtualization
New source: hours to weekExisting source: hours to days
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Ontop Mapping layer
between SQL and SPARQL
Integrates with many tools (Protégé, Sesame, etc.)
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Option 2: Lift and Format
New source: days to weeksExisting source: hours to days
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SPARQLPREFIX beer: http://my.beer.vocab/1.0/SELECT ?brewery NameWHERE { ?brewery beer:hasName ?breweryName ?person beer:owner_of ?brewery ?person beer:first_name “Mark”}
PREFIX beer: http://my.beer.vocab/1.0/SELECT ?beertypeWHERE { ?beer beer:isOfType ?beertype
?person beer:brews ?beer?person beer:first_name “Mark”
<beer:isOfType rdf:resource="beer:PaleAle"/><beer:isOfType rdf:resource=“beer:Lager”/>
<beer:hasName>Mt. Carmel Brewing Company</beer:hasName>
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Case Study: Linked Data At Syngenta
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SyngentaSyngenta is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources.
We have two primary lines of business: Seeds and Agricultural Chemicals.
We have a huge commitment to internal R&D and that is where our linked data initiatives are.
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Linked Data at Syngenta Concept Store
Enable Syngenta applications to consume and publish linked data controlled vocabulary (reference terms and relationships)
ENVision ToolEnables trial placements and weightings that best represent target markets
MINT DataMake genetic identity & inventory data available for discovery, analysis and R&D driven proof of concepts
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What we accomplished In a 3 day hackathon we:
Mapped about 60% of MINT’s model from 2 databases to RDF
Built a virtualized RDF triple store Created a data-discovery / browsing user
interface
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MINT Data
MINT Browser
Repository Configuration
• Identity
• Material
MINT Ontology
• Identity
• Material
RDBMS-RDF Mapper
RDF Repository
Broker
Open-Sesame
MINT Material
RDBMS JDBC
R2RML Mapping
• Material
Semantic Wiki
SPARQL
Ontology &
Mapping Designer
Ontologist
RDBMS-RDF MapperMINT Identity
RDBMS JDBC
R2RML Mapping
• Identity
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MINT Class Model The MINT ontology was
created within Protégé as shown here
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MINT Virtualization Mapping
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MINT Virtualization Mapping
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Next Steps Moving from the virtualized layer into actual
physical triple store implementation
Partnering with our benefits tracking team to get accurate metrics on MINT adoption and value
Linking to additional data sources to provide dashboard KPI’s and analytics for our R&D seeds pipeline
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THANK YOU!
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About Alex…
Principal Consultant, CSpring https://www.linkedin.com/in/alexmeadows Twitter, GitHub as OpenDataAlex Alex has spent the last ten years working in various industries to
help businesses unlock the information hidden in their data sets. He specializes in open source business intelligence solutions from data warehousing to dashboards, analytics, and beyond. His latest area of research has been on linked data (also known as triple stores). Alex has a Masters in Business Intelligence from Saint Joseph’s University in Pennsylvania and a Bachelors in Business Administration from Chowan University in North Carolina.
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About Bubba…
Team Leader, R&D IS, Syngenta https://www.linkedin.com/in/bubbapuryear I’ve held roles as a software engineer, architect and manager across
multiple industries. The last 13 years I’ve worked in the life sciences industry supporting Research & Development. I’m currently the program architect / technical lead for a standardization program within Syngenta bringing Track & Trace compliance to R&D’s material operations. Many of Syngenta’s R&D product decisions for our Seeds line of business are founded on data associated with plant material identity. I have a Bachelors degree in Computer Science from Rose-Hulman Institute of Technology.