The value chain ontology:
Development and
application in the
Iinternational development
Soonho Kim ([email protected])
Data manager at International Food Policy Research
Institute (IFPRI)
About speaker
CGIAR Consortium of International Agricultural Research Centers
Provide_solutions
type
Request actual challenge
from the ground
Harmonize knowledge and data & Analyze!
|
Knowledge management & data management taskforce
http://sydney.fuller.name/archives/2003/11/27/22.29.43/
Semantic tech
http://sydney.fuller.name/archives/2003/11/27/22.29.43/
Value chains
development and
analysis
“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”
http://www.fao.org/fileadmin/templates/esa/LISFAME/Documents/Ecuador/value_chain_methodology_EN.pdf
Seed
suppliers
Farmers
Traders
Processors
Exporters/i
mporters
Retailers
Consumers
OBJECTIVES
THE VALUE CHAINS
ONTOLOGY
Covers different value chain analysis
tools and best practices through 15
CGIAR centers ( 1st phase) and other
tools from external organizations (2nd
phase)
Provides controlled vocabulary into each
center, so that they can use them into
their daily-basis research work
SCOPE
Covers reviewed value chains tools and
best practices
THE VALUE CHAINS
ONTOLOGY
Reuse existing ontologies (schema.org
FAO geopolitical ontology, Agricultural
technology ontology, and etc.)
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
methodology
Build upper level of classes
THE VALUE CHAINS
ONTOLOGY
Reviews individual tools and best
practices and build specific classes using
the bottom-up approach
Import existing ontologies, if needed
Use the natural languages into URI
Use xml:lang tag for translation of each
concepts
Ontology
development
Demo
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.
Challenges
It would be good to have some ways to
import/export RDF from the ontology
management tool to Drupal
FINDING
Some modules in Drupal doesn’t get
along with RDF mapping  More effort
to promote modules based on the
semantic technology to Drupal
community
Knowledge graph combined with userdefined schema.org tag would bring
better use cases of semantic technology.
Scalability on Drupal
Security vulnerability
http://www.tools4valuechains.org