The document discusses the agINFRA project which aims to create a multilingual infrastructure for information on agricultural innovation. The project is working to make linked multilingual vocabularies globally available and provide tools for linking open agricultural data. It presents several components of the agINFRA project including the VocServer, RING, LODE-BD, LOD Generator and AgriVIVO which work together to link and provide access to distributed agricultural data sources using semantic web technologies.
agINFRA Workshop Discusses Linked Data for Agricultural Innovation
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4. Today…… Territory size shows proportion of scientific papers published in 2001 by authors living there. Copyright SASI Group (University of Sheffield) and Mark Newman (University of Michigan)
17. agINFRA – our projects RING routemap to information nodes and gateways Data Production Tools LOD enabled software VocServer vocabulary server concepts and entities triples LOD Generator triplifier, concept and entity identifier Data Rendering Tools Webservices + APIs to triple stores Cloud storage for RDF triples
21. RING - Charts and numbers http://ring.ciard.net RING routemap to information nodes and gateways
22. RING routemap to information nodes and gateways g RING RDF store SPARQL engine RING website INPUT Feeds From owners of information services OUTPUT To other systems - Adjusted metadata model - Fine-tuning of vocabularies - Agreed standard URIs Better metadata collection Custom feed for Grid servers To the Grid for other components on the Grid RESTful web services Requirements from other systems GridCrawl Metadata about AgInfra services and components AgInfra services outside the Grid Current Envisaged Other AgInfra components
23. LODE - BD Subject concept Data Production Tools LOD enabled software http://aims.fao.org/lode/bd
24. Data Production Tools LOD enabled software OAI-PMH Drupal platform and database Simple DC and Agris AP Feeds, XML To other systems AgriDrupal features [content types, taxonomies, views, modules] Import Importers RSS, Agris AP, FOAF, AgEvent AgriDrupal content model RSS, Agris AP Drupal “Distribution profile” mechanism Downloaded and installed on a LAMPP server Deployed in a multi-site Drupal hosting cloud OR Drupal Aegir multi-site app RDF LODE-BD; SPARQL engine Other formats for partners services Other importers: XML, CSV, XLS AgInfra services Providers with legacy data AgInfra data providers in need of an information management tool Providers with no hosting capacities Current Envisaged Other AgInfra components Adjusted content model Requirements from other systems
25. AgriVIVO AgriVIVO will only store pointers (URIs) to and relations between: e-agriculture community AIMS community CG Map GFAR databases FAO Knowledge Café IAALD community YPARD National database of experts AGRIS Publications Library of Congress CABI … People Name: …… Affiliation: …. Job title: ….. Expertise: … Country: … … Profile Classifications: agriculture-specific topics / subject areas: terms from Agrovoc, NALT, CABT… Organizations Projects
26. LOD Generator LOD Generator triplifier, concept and entity identifier
The main integration works through common semantics Core of agINFRA technology is aLOD store of shared encoded knowledge organization systems an automatic markup to link structured and unstructured data sources through this shared Knowledge Organization systems Sharing within the R.I.N.G. Partner register their services, no technical limitation LOD – Wrapper for all participating Institutions For all registered services a „triplification wrapper“ will be set up The triplifier works with „agConcepts and agIdentities“ to create linked data Steadily growing LOD ecosystem The agINFRA LOD ecosystem offers Webservices for the www
the chart on the homepage representing the distribution of services across "service types" (http://ring.ciard.net) (implemented with support from John Fereira); the geographic map on the homepage representing the geographic distribution of services;
AgroTagger still lacks many of the sophisticated features of “Open Calais” , but is much, much better in the subject analysis of the text