1. Linked open data for science, culture and
society
Presentation at the National Library of China, Beijing, 2012-09-16
Dr. Johannes Keizer
Office of Knowledge Exchange, Research and Extension
Food and Agriculture Organization of the UN
Presentations by Johannes Keizer is licensed under a Creative Commons Attribution-
NonCommercial-ShareAlike 3.0 Unported License.
3. “... FAO’sprinciple task is to
work to ensure that the
world’s knowledge of food
and agriculture is available
to those who need it when
they need it and in a form
which they can access and
use ...”
5. http://agris.fao.org
AGRIS is a global public
domain Database
with 2870782 structured
bibliographical records on
agricultural science and
technology. 78.95% of
records are citations from
scientific journals. The
bibliographic references
contain either links to the
full text of the publication
or additional information
retrieved from related
Internet resources
http://aims.fao.org johannes keizer
6. Tim Berners Lee at TED 2009 on Linked Data
All kinds of conceptual things, they have names now
that start with HTTP.
I get important information back. I will get back some
data in a standard format which is kind of useful data
that somebody might like to know about that thing,
about that event.
I get back that information it's not just got somebody's
height and weight and when they were born, it's got
relationships. And when it has relationships,
whenever it expresses a relationship then the other
thing that it's related to is given one of those names
that starts with HTTP.
http://aims.fao.org johannes keizer
8. A big cloud! But how much linked?
“Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/”
http://aims.fao.org johannes keizer
10. ..yes, very much
We have tons of structured and semi
-structured information in bibliographical
databases
Many of these bibliographical records are
using some standard vocabularies, i.e.
• AGROVOC: 300 to 1000 data sets all over the world
• CABI: at least 100?
• NALT: some 100s in the USA
• LCSH: enormous numbers of bib. Databases
One vocabulary catches multiple datasets
http://aims.fao.org johannes keizer