Proof and Trust in the OpenAGRIS Implementation
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Transcript of Proof and Trust in the OpenAGRIS Implementation
A I M S
Proof and Trust in the OpenAGRIS Implementation
Yves Jaques, Stefano Anibaldi, Fabrizio Celli, Imma Subirats,
Armando Stellato & Johannes Keizer
FAO of the UN, Rome, Italy
First, some background…
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Agricultural Research for Development
In 2012, G20 recognizes need to increase agricultural productivity 70-100% by mid-century.
A call to spearhead coordination and collaboration by
convening regular meetings of Agriculture Chief Scientists with the goal of
Establishing global research priorities and targets.
Developing “Global Research Collaboration Platforms” for research in key areas.
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the AGRIS platform Since 1975, a global network providing millions of bibliographic
records on agricultural research for development.
Timeline
1975 – AGRIS collection begins
1980 – AGROVOC thesaurus created
1990 – AGRIS digitized
2000 – AGRIS moves to the web
2003 – AGRIS expressed in XML
2005 – AGROVOC thesaurus moves to OWL
2010 – AGROVOC published in SKOS
2011 – AGROVOC published as LOD
2011 – AGRIS converted into RDF triples
2012 – Implementation of OpenAGRIS
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Meeting the G20’s call to action
AGRIS becomes a central portal for agricultural info.
Collaborate closely with major agricultural universities and research centers to connect, distribute and reduce duplication.
Create the world’s first comprehensive agricultural knowledge base in RDF:
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PubAg, a.k.a OpenAGRIS Leveraging relationships
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Authors
Institutions
Subjects
Other Thesauri
Dimensions & Indicators
Statistical Data AGRIS
Record
Journals
AGROVOC Thesaurus
Other records
GIS
Implementation challenges
A system that links many data sources.
A system that is transparent.
A system that allows you to drill down through the layers of information to get at source data.
A system that not only humans can interpret, but also machines!
This means lots and lots of metadata…
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Proof and Trust is a Rummy Thing
As we know, there are known knowns;
there are things we know we know.
We also know there are known unknowns;
that is to say we know there are some things we do not know.
But there are also unknown unknowns –
the ones we don't know we don't know.
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What are Proof and Trust?
Proof: Socrates is a man…no!
Proof is different from reasoning.
The set of statements used to infer a conclusion and
The statements supporting those statements.
Trust:
I have reasons to believe your linked, interpretable statements are true.
These layers are more or less inseparable.
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Proof and Trust for Machines
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Reasoning, Proof and Trust
A lot of linked statements required
Link to things, not just strings
Common problems
Conflicting statements,
Multiple authority,
Unknown quality,
Context
Can imply a heavy computing load
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Using the semantic web to draw proven conclusions
And the Questions Multiply…
Where from?
Who else trusts it?
How do you prove the authenticity?
What are the policies?
How secure is it?
How dependable?
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History of an AGRIS Resource
Author(s)
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Publisher
AGRIS Center(s)
AGRIS
article created
citation created record ingested
and validated
indexed and
disseminated
Agris AP XML <ags:resource ags:ARN="PL2009000495">
<dc:title xml:lang="en">Length-frequency compositions and weight-length relations for bigeye tuna…</dc:title> <dc:creator> <ags:creatorPersonal>Zhu, G.</ags:creatorPersonal>
</dc:creator>
<ags:citation>
<ags:citationTitle xml:lang="En">Acta Ichthyologica et Piscatoria (Poland)</ags:citationTitle>
</ags:citation>
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AGRIS into RDF
Triplification
60 million triples, soon to be 80 million
The process uncovered weak points in our system
Strings to things…
More links needed
Keywords and Journals to URIs
Journals disambiguated and published as RDF
Alignments across thesauri
Finally, VoID to describe the whole dataset
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RDF AGRIS <j.0:Article rdf:about="http://agris.fao.org/aos/records/PL2009000495"> <j.3:creator> <foaf:Person> <foaf:name>Zhou, Y.</foaf:name> </foaf:Person> </j.3:creator> <j.3:subject rdf:resource="http://aims.fao.org/aos/agrovoc/c_44809"/> <j.3:title xml:lang="en">Length-frequency compositions and weight-length relations for bigeye tuna…</j.3:title> <j.3:isPartOf rdf:resource="http://aims.fao.org/serials/j_1294915133547"/>
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Strings to things
Before: <ags:subjectThesaurus scheme="ags:AGROVOC" xml:lang="en">THUNNUS</ags:subjectThesaurus> <ags:subjectThesaurus scheme="ags:AGROVOC" xml:lang="en">TUNA</ags:subjectThesaurus>
After: <j.3:isPartOf rdf:resource="http://aims.fao.org/serials/j_1294915133547"/>
<j.3:subject rdf:resource="http://aims.fao.org/aos/agrovoc/c_8003"/> <j.3:subject rdf:resource="http://aims.fao.org/aos/agrovoc/c_980"/>
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Next steps Keep on triplifying
The more data, the more we can potentially infer
Bolstering proof and trust
Disambiguate authors and institutions
Focus on “reference metadata”
Methodological metadata - encode the entire “supply chain” of the record
Quality metadata – accuracy, completeness, etc.
Alignments across more concept schemes
VoID to describe the whole dataset
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Questions?
http://agris.fao.org
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