AgriVIVO: An Ontology based Store of URIs and Relations between Entities in Agricultural Research

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Presentation held by John Fereira, Valeria Pesce, Jon Corson-Rikert, Ajit Maru at the Agricultural Ontology Service (AOS) Workshop 2012 in Kutching, Sarawak, Malaysia from September 3 - 4, 2012

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AgriVIVO

An Ontology‐based Store of URIs and

Relations between Entities in Agricultural Research

John Fereira, Valeria Pesce, Jon Corson-Rikert, Ajit Maru

Cornell University Global Forum on Agricultural Research (GFAR) Food and Agriculture Organization of the United Nations

A need for better networking

• Fostering collaboration and synergy through greater awareness

• Identifying missing expertise

• Facilitating team formation

• Reducing duplication of research

Who are we talking about?

• Agricultural researchers

• Agricultural practitioners

• Agricultural information managers

People already part of a community

• FAO

• GFAR

• IICA

• E-Agriculture

• CIARD

• AIMS

• FARA

• IAALD

• Forago

• CIRAD

• CGIAR

• CTA

• GFAR

• And many more

Networking needs

• potential best collaborators all over the world for a project

• a person with an answer to his/her question

• an organization running a project on a specific area of research

• publications written by a potential collaborator

• numbers or geographic distribution of available competencies or ongoing projects

How easy is it today for someone to identify /

discover...

How it’s done now

Personal connections Institutional HR database and online directories

Conferences Knowledge networks

How to do it more efficiently

1. Go beyond serendipity

• Gather information systematically

• Focus on sources providing data by discipline, organization, or topic

• Leverage existing, meaningful relationships

How to do it more efficiently

2. Go beyond isolated communities

• Search several directories / communities

• Share people profiles, affiliations, expertice across communities

FAO Knowledge Café

e-agriculture community

AIMS community

CG Map

GFAR databases

IAALD community

YPARD

National database of experts

Now Better networking

What is VIVO

VIVO is semantic publishing platform for

making data about research activities

visible and accessible.

History of VIVO

• 2003 – VIVO Cornell “Research & Expertise Across Cornell”

• 2009 – VIVO Network “Enabling national networking of scientists” $12.2 million, two-year grant from NIH

• 2010 – VIVO at USDA First federal organization to commit to using VIVO. Five USDA agencies to participate initially.

Example VIVO profile

Example VIVO topic

VIVO Components

• Jena SDB triple store

• Core ontology

• Bundled ontologies

• Ontology editor

• Data ingest tools

• Apache Solr search engine

• Linked Data publishing

• CMS features

VIVO Ontology Classes

• Person (FOAF + VIVO)

• Information Resource (VIVO + BIBO)

• Organization (FOAF + VIVO)

• Area (FAO Geopolitical)

• Event (Event)

VIVO data flow

HR database PubMed

publications OSP grants

VIVO

Harvested data mapped

to RDF

HTML RDF

What is AgriVIVO

e-agriculture community

AIMS community

CG Map

GFAR databases

IAALD community

YPARD

National database of experts

FAO Knowledge Café

Person1 > Affiliation > Institution3 Institution3 > Participates in > Project2 Project2 > Is about > Topic1 Person2 > Participates in > Project2 Person2 > Expertise > Topic1 Person1 > Knows > Person2 Person1 > Author of > Publication1 Person1 > Author of > Publication2 [...]

• AgriVIVO will not replace any existing community or database, it will work as a common registry to interlink the data managed in the existing communities.

• Communities and databases will indirectly share data through AgriVIVO

AgriVIVO data flow

AIMS e-Agriculture IAALD

AgriVIVO

Custom harvesters

Map Data to RDF

HTML API RDF

AgriVIVO: a data hub

• Jena SDB triple store

• Core ontology

• Bundled ontologies + AgRES, AGROVOC

• Ontology editor

• Data ingest tools + custom harvest tools

• Apache Solr search engine

• Linked Data publishing

• CMS features

• Additional data APIs (Linked Data API)

AgriVIVO-driven applications

Make data highly available to support

applications built using any platform

Linked Data API can export data as

XML, JSON, RDF, etc

AgriVIVO-driven applications

Global search engine

AgriVIVO-driven applications

Visualization

AgriVIVO-driven applications

Contextual applications

Thank you!

Valeria Pesce: valeria.pesce@fao.org

John Fereira: jaf30@cornell.edu

VIVO: http://vivoweb.org

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