1. The value chain ontology: Development and application in the Iinternational development
Soonho Kim
Data manager at International Food Policy Research Institute (IFPRI)

2. About speaker

3. CGIAR Consortium of International Agricultural Research Centers

6. Provide_solutions
Request actual challenge
from the ground
type

7. | Harmonize knowledge and data & Analyze!
Knowledge management & data management taskforce

9. Semantic tech

10. Value chains development and analysis

11. “the full range of activities which are required to bring a product or service from conception, through the different phases of production (involving a combination of physical transformation and the input of various producer services), delivery to final customers, and final disposal after use”

12. Seed suppliers
Farmers
Traders
Processors
Exporters/importers
Retailers
Consumers

14. THE VALUE CHAINS ONTOLOGY
OBJECTIVES
Covers different value chain analysis tools and best practices through 15 CGIAR centers ( 1st phase) and other tools from external organizations (2nd phase)
THE VALUE CHAINS ONTOLOGY
Provides controlled vocabulary into each center, so that they can use them into their daily-basis research work

15. THE VALUE CHAINS ONTOLOGY
SCOPE
Covers reviewed value chains tools and best practices
Reuse existing ontologies (schema.org FAO geopolitical ontology, Agricultural technology ontology, and etc.)
THE VALUE CHAINS ONTOLOGY
Manage the ontology in collaborative work space, so that other authorized people can edit them
Reviews the ontology with domain exports
Supports all requirements from applications

16. THE VALUE CHAINS ONTOLOGY
methodology
Build upper level of classes
Reviews individual tools and best practices and build specific classes using the bottom-up approach
THE VALUE CHAINS ONTOLOGY
Import existing ontologies, if needed
Use the natural languages into URI
Use xml:lang tag for translation of each concepts

18. Content management system
Ontology development
Content management system
Ontology management

20. Demo

21. Benefits
Drupal supports to manage a simple version of ontology
Drupal allows collaborative editing on the ontology
FINDING
Drupal provides an easy way to generate RDFa to content manager.
Semantic technology along with content management system can remove the bottleneck of high cost of implementing it in daily basis work.

22. Challenges
It would be good to have some ways to import/export RDF from the ontology management tool to Drupal
Some modules in Drupal doesn’t get along with RDF mapping  More effort to promote modules based on the semantic technology to Drupal community
FINDING
Knowledge graph combined with user-defined schema.org tag would bring better use cases of semantic technology.
Scalability on Drupal
Security vulnerability

23. THANK YOU!