Presentation @EFITA discusses the experimental translation of ISOAGRINET standards into the ontology.

1. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
EXPERIENCE WITH CREATING A PRECISION DAIRY
FARMING ONTOLOGY FROM ISOAGRINET IN
AGRIOPENLINK
Dana Tomic, Dr. (FTW)

2. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
agriOpenLink Key Facts
 Interdisciplinary Research Project
- FTW - Research Center for ICT
- JR - Josephinum Research
- BOKU - University of Natural Sciences BOKU
- MKWE - Animal Monitoring System (SMARTBOW)
 The main theme: Information Management for Processes
Optimization in Precision Agriculture
 Funded by: Austrian Research Funding Agency (FFG)
 Use Cases: 1) Dairy Farming, 2) Irrigation
 Duration: 3 Years ( 06’2013- 05’2016)
 Budget: ~900 k Euro (80% funding)
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3. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
SMARTBOW - Based on ear tags.
• Activity / resting
• Fertility
• Rumination
• etc.
- Improved nutrition and
fertility management,
animal wellbeing and
health.
80 000 per cow per day
Color codes for activities (resting, feeding, moving)

4. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
The Data Integration Problem
Advanced
analytics
Advanced
robotics
Dumping
files
User as the integrator!

5. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
Provide decision
support based on
integrated data
Plugin
agriOpenLink
The Vision
DFO
Integrate any system!
Integrate any data!
Integrate knowledge
3rd Party
Software
API for external APPs

6. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
agriOpenLink Technical Realization
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 Plugin Component
- Plugin Gateway
- Plugin Server (HTTP REST+RDF)
- Plugins (loadable components)
- Plugin Services (RDF)
 Query Component
- Query Editor and EngineConsultant
Farmer
Plugin
Developer
 Ontology Component
- Dairy Farming Ontology
- Repository with Ontology & Data
- DFO Editor for collaborative editing

7. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
DFO Engineering: Goals and Approaches
Phase-1 : Domain Modelling
 Domain modelling by the
domain experts
 Modelling in the Ontology Editor
Protege
 Hierarchy of primitive classes
and, data properties and
relationships
 Relating to the existing
knowledge ISOagriNet
standard)
 Setting the scope and boundary
of the model (e.g., demonstrate
integration of three systems via
a number of SPARQL queries)
 Goal: Include all necessary
properties classes and
relationships.
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Phase-1 : Operational Concept Modelling
 Service Ontology for the service registry
 Plugin, Service, provider, operator, …, relationships
 Use properties defined in the domain ontology for the
services
 Goal: Support service registration and finding
Service &
Plugin
Ontology
DF
Ontology
(core)

8. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
DFO Engineering: Goals and Approaches
Phase 1: Knowledge Encoding
 Creating the so called “defined classes” that define the sufficient
and necessary conditions for classification
 A defined class is specified with restrictions on properties: e.g.:
- A lame animal can be modeled with a restriction on the mobility score
- In heat animal can be defined with restrictions on properties from many
systems, e.g., rumination, activity, milk yield, reduced feed intake, …
 Alternatively knowledge can be encoded with SPARQL queries,
e.g.
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SELECT … (all animals with sudden
increase of resting, reduction of milking
time increase of milk conductivity,
protein, fat and lactose.)  Risk of
MASTITIS!

9. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
DFO Engineering: Goals and Approaches
Phase 2: Translating Existing Domain
Knowledge into the Semantic Format
 Triplefication = other format  <
subject, predicate, object>
 Goal : Instead of implicit links to the
standards (captured in the annotation
“seeAlso” in the ontology) create
explicit links to these resources
modelled by using URI, RDF, RDFS and
OWL schemas.
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Exiting Domain
Knowledge but
now put in the
format

10. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
ISOagriNET Framework for Data Exchange
 International standards for data exchange:
ADIS/ADED standards (ISOagriNET framework)
 A working group ISO ISO/TC 23/SC 19/WG
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 ADIS – the Agricultural Data Interchange
Syntax - how data is transmitted
 ADED – the Agricultural Data Element
Dictionary - what data is transferre
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ISO 11787 Machinery for agriculture and forestry - Data interchange between
management computer and process computers - Data interchange syntax
Since 1995
ISO 11788-1 Electronic data interchange between information systems in agriculture -
Agricultural data element dictionary - Part 1: General description
Since 1997
ISO 11788-2 Electronic data interchange between information systems in agriculture -
Agricultural data element dictionary - Part 2: Dairy farming
Since 03/98
ISO 11788-3 Electronic data interchange between information systems in agriculture -
Agricultural data element dictionary - Part 3: Pig farming
Extended 07/98
DIN 11800 Agricultural engineering - Electronic data interchange in agriculture - data
interchange in the field of cattle production
Since01/98

11. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
ISOagriNET Framework for Data Exchange
The German milk control association (LKV-NRW) set up a
specialized portal with information and interfaces targeting
developers who are implementing applications that integrates
exchanges based on ADIS/ADED.
– access to a database with yearly
published ADED Dictionaries
– data elements in HTML format
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http://ian.lkv-nrw.de/index.php?id=292&no_cache=1

12. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
ISOagriNET Framework for Data Exchange
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The Query Interface is a WEB GUI – for
inspection of the dictionary or download of
the dictionary in the ADIS format

13. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
ISOagriNET – General Schema
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http://ian.lkv-nrw.de/index.php?id=292&vURL=AGRO2016%2Fadis-def%2Fe190011.html&cHash=350dc14529
Entity
Item Item Item
Key OptMan
N ANCodeSet
features
precision
length
…
Key Key
Feature
Data Dict.

14. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
ISOagriNET – Data Syntax
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Asci
DN – lines
VN – lines…
<value, length,
precision>

15. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
Data Exchange and Interpretation based on
ADIS/ADED
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ADED Dictionary is an
information island

16. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
ADED Data Dictionary  Ont. Translation Rules
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Entity
Item Item Item
Key OptMan
N ANCodeSet
features
precision
length
…
Key Key
FeatureADED_CodeSet
ADED_Entity
owl:Class
owl:DatatypeProperty
owl:Class
owl:NamedIndividual
Data
owl:AnnotationProperty
owl:NamedIndividual
Dict.
owl:Class

17. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
Namespaces (experimental)
Example : ADR2003
Entity 
 isoADR2003:Entity
 isoentADR2003:884412
CodeSet
 isoADR2003:Codeset
 isocsADR2003:8532
Key
 isocsADR2003:8532/#99
Item
 isoitADR2003:DP840021
Dictionary 
 isoentADR2003:190001
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18. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
Exploration od Schema
 What are different entities in area “Rinder”
(beef) which contain words “Wert” and Milch in
their description (BESCHREIBUNG).
SELECT DISTINCT ?ITEM ?NAME ?BESCHR ?SPR ?TYP
WHERE { ?ITEM rdf:type owl:DatatypeProperty.
?ITEM isoitanotADR2003:BESCHREIBUNG ?BESCHR.
?ITEM isoitanot:isoarea "Rinder".
?ITEM isoitanotADR2003:TYP ?TYP.
?ITEM isoitanotADR2003:NAME ?NAME.
?ITEM isoitanotADR2003:CODEDA "N".
?ITEM isoitanotADR2003:Sprache ?SPR.
FILTER (regex(?BESCHR, "Wert", "i") && regex(?BESCHR, "Milch", "i"))}
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OWLIM
Data
(Animal+Breed)
ADR2003
SPARQL

19. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
Exploration of Data
 Exploring data that farmer receives from the control association
 The result of a SPARQL query filtering the first instance of all
different data object types contained in the data file.
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20. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
Exploration of Data
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SELECT ?c ?g ?b
WHERE {
?c ?t ?u.
?u isoitanotADR2003:NAME “Mittlere_Laktationsleistung".
?c ?z ?b.
?z isoitanotADR2003:BESCHREIBUNG "Eiweiss-%_mittlere_305-Tage-Leistung".
?z isoitanotADR2003:BESCHREIBUNG ?g.
FILTER (?b > 3.5)
}
Filtering the
data based on
data values !

21. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
The Role of the Ontology in agriOpenLink
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22. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
Conclusions and the Outlook
 DFO is a unifying description of the domain and operational
knowledge in the dairy farming
 DFO shall interlink with the external body of knowledge in the
RDF data format making it assessable for the DSS applications.
 To aid to the use of already existing domain knowledge we
proposed and implemented triplefication of ADED Dictionaries.
 DFO is not a static structure and requires ontology editing and
maintenance tools
 The next steps:
- Data enrichment and interlinking
- A SPARQL-endpoint to this data for experimental purposes.
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23. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.

24. EFITA/WCCA/CIGR 2015, Poznan, Poland, June 29 to July 2, 2015.
Contact
Dr. Slobodanka Dana Kathrin Tomic
Senior Researcher | FTW | www.ftw.at
Forschungszentrum Telekommunikation Wien GmbH
Donau-City-Straße 1/3 | A-1220 Vienna | Austria
+43/1/5052830 -54 | fax -99 | +43/6769129023