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agINFRA - a data infrastructure to support agricultural scientific communities

Miguel-Angel Sicilia, UAH Nikos Manouselis , AgroKnow Johannes Keizer , FAO Antun Balaz , IPB. agINFRA - a data infrastructure to support agricultural scientific communities. Brussels , hearing at 22 -feb-2011. The project at a glance.

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agINFRA - a data infrastructure to support agricultural scientific communities

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  1. Miguel-Angel Sicilia, UAH NikosManouselis, AgroKnow Johannes Keizer, FAO AntunBalaz, IPB agINFRA - adata infrastructuretosupportagriculturalscientificcommunities Brussels, hearing at 22-feb-2011

  2. Theproject at a glance • A data infrastructureforagriculturalscientificcommunities. • Basedonanopen linked dataarchitectureharmonizingsemantics and ontologies. • Aggregating data of existingsystems and takingadvantage of advancedGridservices and infrastructure. • Devisedforscalability and maximuminteroperabilitybyadaptingexistingwidelyusedcomponents. • Fosteringdiversecommunities of heterogeneousproviders and users. • Providingresearcher-centricservices as conceptualized in the VOA3R project and covering CERIF.

  3. FromCIARD RING toagINFRA Source: Pesce, Maru & Keizer, IAALD conference, 2010

  4. Integratedservices • CIARD RING – Froman on-line index of services and projectstoaninfrastructureforregistering, managing and hosting data services. • AGRIS – From a largebibliographicindex of publicationsto a linked data Atlas of agriculturalresearch/ers. • AgroPedia – FromanIndianagricultural Wiki to a collaborative, semantic, dynamicaggregator of specializedinformationand knowledge. • AgLR-TF – Fromanindex of agriculturallearningrepositoriesto a federationinfrastructurewithadvancedtoolsforaggregatinglearningresources. • Organic.Edunet – Fromanspecializedgateway of learningobjectrepositoriesto a highlyinteractive and scalablevisualization and browsingservice.

  5. Specificquestionsfromtheexperts • In JRA2, please explain in more detail how the data will be integrated. • Please provide more specific information on the standards to be considered. • Please clarify the role of the IITK in relation to the contribution from the FAO. • Please describe which partner(s) provide the required skills and experience on interoperability arrangements between databases. • Please provide more details on the type of work being done by the sub-contractors. • Please summarise your main success criteria for the service to be developed, and which quantitative indicators will you use to measure success

  6. agINFRA - LinkedOpenData AGRIS Project Databases Technology Databases AGROPEDIA agINFRAExposure Layer Data Repositories Open Archives agINFRA concepts Directories of Experts and Institutions OrgEduNet Scholarly Journals agInfraVocBench AgINFRAconcept/entityidentifier /tagger agINFRA- R.I.N.G. AgINFRA Triplifier AGROVOC agINFRA entities BioTech RiceOnt ASFA External VOCs XXXXXX networks experts foaf agInfraComponents dc Science Blogs Websites LOR XXX orgs orgs orgs projects bibo skos XXXXXX Social networking platforms

  7. (2) Standardsto be considered • W3C/SemanticWeb Standards • OWL, RDF, SKOS, [LinkedOpen Data] • Research Information System Model • CERIF (EuroCRIS) • General purposemetadata • DC, FOAF, BIBO, MODS, IEEE LOM • Agricultrure/environmental specificmetadata • AgrisAP, AgMES, EML • Vocabulariesandontologies • AGROVOC, PO, OBOE, Organic.Edunet, VOA3R RM, ASFA, NALT, JAD, agExperts • Harvesting/federatedsearch • OAI PMH (Drupal, Dspace, Fedora Commons), SQI • Any LOD vocabularypubliclyexposedaccordingtotherecommendations. • INFRA standards: EMI, OGF

  8. (4)Partner(s) with skills and experience on interoperability arrangements between databases • Interoperabilityissubstantiated in semanticlinkingthrough RDF. • Technical: • UAH • FP6 LUISA on SWS, Organic.Edunetmapping of terminologies, VOA3R exposinglinked data • Teamwith 8+ yearsexperience in ontologies and interoperability. • SR: STERNA coordination– semantics in NHM • AK: CEN standardscommittee – interoperability of LOM APs. • Modeling, workflow and harmonizationapproach: • FAO: AGROVOC terminologyservices, NeOn FP6 project. • Infrastructuresupportfortheinteroperability: INFN, IPB, SZTAKI

  9. (5) Main success criteria for the service, and quantitative indicators to measure success • Measurableincrease in sharing and federation of agricultural data • ~3M agricultural and 49,5M genericbibliographicentries • ~2,6M items of scientificliterature open access • ~100K educationalresources • >5 raw data repositories (e.g. Germoplasm) • Measurableinvolvement of users/communities in data managementprocesses • >20 pilottrials • Over75% usersatisfactionlevels • >15 stakeholderevents • 11 data providers/networks • >20 countries and >20 languagescovered • Measurableinteroperability & harmonisation of metadata, semantics and ontologies • >5 agriculturalmetadatastandards in variouslanguagesharmonised • >5 existingagriculturalontologies/thesauriinterconnected and mapped

  10. (6) Type of work of subcontractors • FAO subcontractingto IITK – explainedlater • UAH subcontracting: • IITS – resp. of sustainability of Organic.Edunet. • Requireschanging and re-scalatingtheoperationalmodel and re-deploymentaftertherefactoringtotheagINFRA virtual engine portal layer • Other VOA3R partnersubcontracts: • Not simple data integration, as they are alreadyfederated in VOA3R whichisexpectedtoexposelinked data. • Entailsmigrationtothe Virtual Data InfrastructureLayerand changingoperationsto a virtual server model.

  11. (3) Role of IITK in relation to the contribution from the FAO • Contributionsof IIT Kanpur • AgroTagger (keycomponentofagINFRAconceptandentityIdentifier) • AgroPediaIndica – Data and Service Provider • Partner orSubcontractor? • Bothcandeliverthedesiredresults. • Consortium happy tochangestatus, IITK preparedforthat.

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