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Harnessing AgriDrupal for Integrated Agricultural Information Management

DESCRIPTION

AgriDrupal is a robust tool developed for agricultural information management, enabling institutions to create and adopt customized solutions for their data needs. By leveraging Drupal as a Linked Open Data (LOD) provider, users can define various content types, map metadata to RDF properties without programming, and utilize a SPARQL engine for querying triple stores. This community-driven platform encourages collaboration among agricultural specialists, allowing for the sharing of best practices and tools, thereby enhancing data dissemination and integrated information management.

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Harnessing AgriDrupal for Integrated Agricultural Information Management

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Presentation Transcript

  1. use cases A tool to create Linked Dataproviders and consumers Valeria Pesce Global Forum on Agricultural Research (GFAR)

  2. The AgriDrupal community • The AgriDrupal community is made up of people who work in the community of agricultural information management specialists and have been experimenting with IM solutions with the Drupal CMS • The community interacts using the AIMS community platform: http://aims.fao.org/community/home

  3. AgriDrupal solutions and “demo tool” • One or more “reference” installations of AgriDrupal including all or only selected functionalities can be made available • for testing purposes • for adoption by Institutions looking for a full-fledged tool for integrated information management and dissemination

  4. Drupal as a LOD provider 1. Content types, metadata and RDF • In-built capacity to treat any kind of user-defined content type: from simple web pages to events, contacts, bibliographical records or any custom content types • For each content type, a suitable metadata set can be designed with no programming • Each content type can be mapped to an RDF class from any vocabulary; each field in the metadata set can be mapped to an RDF property from any vocabulary • Content types = classes. Nodes = entities, instantiation of content types / classes. Nodes’ URLs are the entities’ URIs. • All structured contents - Custom RDF vocabularies- URIs

  5. Mapping metadata to RDF vocabularies

  6. Using recommended vocabularies Example: recommendations for AGRIS (from Imma’s slides) Implement the recommendations in Drupal Analyze this decisional workflow, apply the scenario you prefer custom content model mapping of fields/elements to RDF properties

  7. Drupal as LOD provider 2. Views and SPARQL engine • Drupal has the in-built capacity to provide any number and type of views over the stored contents: from simple lists of news to tables with selected columns to calendars to feeds and XML/RDF or Json exports • Drupal can make available a SPARQL engine to query the whole triple store • RDF outputs available in different notations (e.g. RDF/XML for Agris)- RDF store exposed through a SPARQL engine

  8. Example of view: RDF feed

  9. Drupal as a SPARQL endpoint Drupal website Query run on a Drupal website from a Virtuoso test environment at http://demo.openlinksw.com/sparql_demo/ RDF triples SPARQL endpoint

  10. Drupal as LOD provider • External authority control: • web services and SPARQL queries can be used to access external authority control sources; • URIs can be stored in the system together with useful literal values in different fields; • Links to external resources with URIs already in the system- RDF outputs include external URIs

  11. Authority control: authors Internal authority control Drupal data entry Search and reference Create and reference

  12. Authority control: journals Next step: shared authority records Workbenchweb services Drupaldata entry Now: internal authority records

  13. Authority control: subject: Agrovoc Drupal data entry Agrovoc web services client popup >> click << Drupal search interface

  14. Drupal as LOD consumer 2. Feed aggregation and SPARQL views • Drupal can aggregate RDF feeds and store their items even with full custom metadata • Drupal can run SPARQL queries on remote endpoints and display the results • Aggregated RDF records can be either stored or displayed on the fly- Dynamic SPARQL queries can be run on any SPARQL engine

  15. Drupal as a SPARQL client Remote SPARQL engine Drupal Views interface: SPARQL View plugin Drupal block

  16. use cases Thank you

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