Towards a Global Data Ecosystem for Agriculture and Food
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Transcript of Towards a Global Data Ecosystem for Agriculture and Food
Towards a Global Data Ecosystem for Agriculture
and Food
A story Who we are Open data in agri-food Cases from our work A common data ecosystem?
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A story
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Κρήτη (Crete)• Largest & most populous of Greek islands• Significant part of economy & cultural heritage of
Greece while retaining own local cultural traits (poetry, music, dialect)
• Once center of Minoan civilization (circa 2700–1420 BC)
…the earliest recorded civilization in Europe
Minoan civilisation
• Named after King Minos
• A king of Crete, son of Zeus and Europa
Minoans: enemies with Athens
• Every nine years, King Minos of Crete made King Aegeus of Athens to pick seven young boys and seven young girls to be sent to his palace, the labyrinth, to be eaten by the monster Minotaur (half man, half bull)
Theseus prince of Athens
princess Ariadne, daughter of Minos
so the myth is about navigating through
a labyrinth
our story: helping people navigate through information
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Who we are
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We find, connect and deliveragriculture & food information worldwide
(for the past 8 years)
So yes, we consider ourselves pioneers
We help organizations build a better future for all, using open agriculture and
food data
We work with major institutions and initiatives
We are a flexible, intuitional team of experts that delivers
Expert in strategy design Designs the most
efficient solutions
Expert in customer needs identification
and analysis
The Strategist
The Architect
The Perfectionist
Nikos Manouselis Giannis
Stoitsis
Babis Thanopoulos Expert in data and
technology solutions
Kostas Kastrantas
The Doer
Blending domain experts, computer engineers and information scientists
We Lead We MakeWe Support
The elements
Big Data Indexing
Sentiment Analysis & Opinion Mining
Big Data Processing
Information Extraction
Information Retrieval
Summarization Social Network Analysis
Large-scale Schema Matching
Hessian-Free Non-Linear Optimization
Argumentative Ontology Alignment
Semantic Annotation
Ontology Evolution
Ontology Population
Deep Kernelized Multi-task Learning
Convolutional Networks
Cascade Learning Machines
Data-intensive R&D linking basic with applied research in real-life settings
open stack of software for big data analytics & text/data mining
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Open Data in Agri-Food
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Cases from our work
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AGRIS
8 million bibliographic
records350.000 visitors per month
Serving >200 data providers20% of the total FAO
visits
We aggregate and serve agricultural scientific information to maximise the impact of AGRIS
TAPipedia
A G20 initiative
GWPP Global Water Pathogen Project
Global Scientific Knowledge Hub for Water Pathogens
UNESCO, Procter & Gamble, Gates Foundation
VitisAll science about Greek viticulture
Mac
hine
Lea
rnin
gTo
olbo
x
High-Throughput Genotyping
VITIS Open Linked Portal
DATASETS
2016 2017 2018 2019 2020
Image Recognition / Convolutional Networks
BIBLIOGRAPHIC
Big DataIndexing
InformationRetrieval
+ PHENOTYPIC + GEOLOCATIONAL + GENETIC + SATELLITE IMAGING
High-Throughput Phenotyping
Identification
QuantificationFeature Extraction / Image Analysis
Prediction Sequence Alignment / HMMs
DataToolbox
Classification
InformationExtraction Summarization
ModellingToolbox
Large-scale Schema Matching
SemanticAnnotation
OntologyPopulation
Notifications: SMS, email based on company’s food profile
Analytics: provide Food Safety analytics per product, ingredient and per region
Supplier check: check if the current or a new supplier has been involved in a food incident in the past
Regulations: access regulations and standards for the product and ingredients per region
Decision support: take decisions about new ingredients that a company would like to use in a product
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Towards a common data ecosystem?
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Doing business with open data“new businesses and new business models are beginning to emerge: Suppliers, aggregators, developers, enrichers and enablers”“key link in the value chain for open data is the consumer…direct relevance to the choices individuals make as part of their day-to-day lives”
“For a data revolution to happen, agriculture and food need a fabric of interoperable and interplaying infrastructure layers that will make data sharing and exchange as natural to us as it is to use the road or rail infrastructure to move from one country to another.”
Agroknow’s response to A global data ecosystem for agriculture & food, September 2016
The right people together• Open Harvest’16 & Chania Declaration: public and private
sector want to work more closely together on data sharing• GODAN Data Ecosystem for Agri-food WG to bring senior
data infrastructure people together (co-led by Agroknow & Syngenta)
• Engage people developing data infrastructure pieces– CTO meeting is planned– follow up paper on Technology Principles for Enhanced
Data Interoperability & Discoverability (?)
Sharing scientific knowledge• Agri-food industry investing into Linked R&D Data
platforms• EU and CGIAR build platforms based on Linked
Open Data and Big Data Analytics for their scientific data and outputs
• Agroknow, INRA, WUR & FAO to coordinate the development of a 10y roadmap for a scientific data infrastructure in agriculture and food
How to get involved?• If you are building data platforms or infrastructures– join the GODAN WG (talk to me)
• If you are producing, managing or using scientific data– follow GODAN for an announcement on roadmap
development events (and talk to me)• If you are funding such work– share with us your priorities, interests and planned
interventions to (at least) avoid overlaps and double-funding (you can also talk to me)
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Thank you