13
From GACS to Agrisemantics – steps forward towards interoperability of data for agriculture and nutrition Caterina Caracciolo FAO

From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

Embed Size (px)

Citation preview

Page 1: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

From GACS to Agrisemantics – steps forward towards interoperability of data for agriculture and nutrition

Caterina CaraccioloFAO

Page 2: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

GACS?

= Global Agriculture Concept Scheme

• To make a common repository of terminological and conceptual information in agriculture– Many similar initiatives in the area, with both some

overlaps and differences, but no coordination• To achieve efficiency of scale by maintaining core

concepts in cooperation

Page 3: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

GACS vocabularies – The Thesauri involved

Page 4: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

Overlap between AGROVOC, NALT, CABT - Estimated

Page 5: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

AGROVOC, NALT, CABI – similarity in use

All are used within applications of similar nature – here our application of choice, used in GACS

Page 6: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

GACS WG basics - Who

• Representatives from each organization• 2 independent consultants• Involved also CGIAR

Page 7: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

GACS output so far (Apr ‘14- Jul ‘15)

• GACS beta online: • http://tester-os-kktest.lib.helsinki.fi/gacsdemo/en/ • A core of 15,000 concepts, ~400k terms– Organisms– Places– Chemicals– “General” concepts

• Information available results from a “merge” of the three• All RDF-SKOS

Page 8: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

GACS Beta

Page 9: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

Ongoing

• Finalizing the resolution of “lumps”– The mapping of A ->B and then B –> C resulted in

potentially problematic groups of concepts • “Clean up” labels, e.g. to harmonize use of

sing/plur• Move in a fully functional editing environment

Page 10: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

Ongoing cont’d

• Decide on needed concept types, e.g., for organisms, chemicals, ..

• How to deal with non-identical hierarchies when merging mapped concepts

• Define general policy for dealing with scientific and common names of organisms (are different things? Or different names for the same things?)

Page 11: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

GACS approach to data interoperability

• Goal: access and aggregate data of diverse source, and be able to combine it and use in information systems different than those of origin

• Given a set of concept schemes, establish correspondences so that data described with them may be meaningfully reused in different applications

Page 12: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

After GACS - Agrisemantics

• Goal – a BMGF project• Project proposal is in early stage of development• Discussion started during a workshop in Rome, see: • Goal: Expand GACS in terms of: – Coverage, by hooking in other similar vocabularies– Typology of resources involved. Goal: Formalize and use

the intuitive connections between the concepts contained in thesauri and concepts used to describe other type of resources – e.g., reference data for time series, ontologies used for data annotation etc.

Page 13: From GACS to Agrisemantics - Steps Forward Towards Interoperability of Data for Agriculture and Nutrition, by Caterina Caracciolo

Some pointers

• To follow progress, check out http://aims.fao.org and subscribe to the user communit

• Agrisemantics Workshop July 2015 –- page contains links to background material: http://aims.fao.org/agrisemantics-workshop-2015