This document discusses the evaluation of the OntoBeef ontology, which was created as part of the ProOptiBeef project to optimize beef production in Poland. The ontology covers concepts related to beef production and consumption. It was evaluated in three stages by seven domain experts: 1) experts selected relevant concepts from the 2,344 concepts in the ontology; 2) experts evaluated concept labels; 3) experts assessed ontological relations between concepts. The ontology was also linked to other related open datasets and can be used to build an ontology-driven information system and a thesaurus component to browse and provide feedback on the ontology.
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Evaluation of beef production and consumption ontology and presentation of its actual and potential applications
1. Evaluation of beef production and consumption ontology
and presentation of its actual and potential applications
Rafał Trójczak∗, Robert Trypuz∗, Przemysław Grądzki∗, Jerzy
Wierzbicki$, Alicja Woźniak$
∗Faculty of Philosophy, The John Paul II Catholic University of Lublin, Poland
$Polish Beef Association, Warsaw, Poland
FedCSIS: Advances in Semantic Information Retrieval 2013
Cracow
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 1 / 21
2. Ontologies within ProOptiBeef
Outline
1 Ontologies within ProOptiBeef
2 OntoBeef Evaluation
Concepts choosing
Labels evaluation
Evaluation of the ontological relations
3 OntoBeef and Linked Open Data
4 Applications
Ontology-driven information system
Thesaurus component
5 Conclusion and perspectives
6 Acknowledgment
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 2 / 21
3. Ontologies within ProOptiBeef
ProOptiBeef
ProOptiBeef – Optimising beef production in Poland according to
strategy “from fork to farm”a
Project aim: to increase the level of innovation in Polish beef sector
through comprehensive research and development in the field of beef
quality
Within the scope of ProOptiBeef there are:
experimental tasks
theoretical activities
a
http://www.prooptibeef.pl
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 3 / 21
4. Ontologies within ProOptiBeef
Tower of Babel
Variety of Experts
marketing and consumer
research, economics of
consumption;
sensory analysis;
development of green areas;
cattle feeding and farming;
evaluation of material of animal
origin;
technology and chemistry of
meat;
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 4 / 21
5. Ontologies within ProOptiBeef
Ontology in ProOptiBeef
By “ontology” here we mean
formal specification of domain knowledge shared by parties involved in
information exchange.
Ontologies are intended to
help in expressing the results
of the project in an
unambiguous way;
be used as a component of a
system for searching
information in a database of
scientific articles;
be used as a component in
expert system gathering the
results of the project and
revealing them to the public.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 5 / 21
6. Ontologies within ProOptiBeef
Ontology in ProOptiBeef
OntoBeef Library
Domain: knowledge about beef, its production and consumption.
Papers: metadata knowledge about documents and contains a
description of hundreds of scientific papers on domain.
Science: description of problems, methods, data and theses.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 6 / 21
7. OntoBeef Evaluation
Outline
1 Ontologies within ProOptiBeef
2 OntoBeef Evaluation
Concepts choosing
Labels evaluation
Evaluation of the ontological relations
3 OntoBeef and Linked Open Data
4 Applications
Ontology-driven information system
Thesaurus component
5 Conclusion and perspectives
6 Acknowledgment
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 7 / 21
8. OntoBeef Evaluation
OntoBeef Evaluation
OntoBeef ontology has been evaluated by seven domain experts.
The experts has been invited to three-stage evaluation process:
1 The experts have been choosing the concepts to be validated.
2 They have been evaluating labels assigned to each concept.
3 They have been assessing the ontological relations between concepts.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 8 / 21
9. OntoBeef Evaluation Concepts choosing
OntoBeef Evaluation: First Stage
Experts have been asked to choose among all 2344 concepts these
which belong to their domains of interest.
Concepts were displayed one by one. Each of them was represented by
the sequence of synonymous names. An expert could choose between
“Yes” and “No”.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 9 / 21
10. OntoBeef Evaluation Labels evaluation
OntoBeef Evaluation: Second Stage
Experts were asked to make an order in the labels assigned to each
concept.
Experts might also add a new synonymous label to the concept in any
language.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 10 / 21
11. OntoBeef Evaluation Evaluation of the ontological relations
OntoBeef Evaluation: Third Stage
The final stage of the evaluation process was analysis of the
ontological relations in OntoBeef.
For each concept the following information has been provided: its
labels, ancestors, children, siblings and some ontological connections.
The result of this evaluation stage was 494 received submissions.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 11 / 21
12. OntoBeef and Linked Open Data
Outline
1 Ontologies within ProOptiBeef
2 OntoBeef Evaluation
Concepts choosing
Labels evaluation
Evaluation of the ontological relations
3 OntoBeef and Linked Open Data
4 Applications
Ontology-driven information system
Thesaurus component
5 Conclusion and perspectives
6 Acknowledgment
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 12 / 21
13. OntoBeef and Linked Open Data
Linked Data Philosophy
Two meanings of “Linked Data”:
a method of knowledge creation and sharing,
a collection of interrelated datasets on the Web.
Tim Berners-Lee provided the following set of requirements which a
data should possess to be called Linked Data:
1 to be available on the web;
2 to be available as machine-readable structured data;
3 to be coded in some of open standards from W3C (e.g. RDF) to
identify things;
4 to be linked to other people’s data.
Linked Open Data (LOD) is Linked Data which is released under an
open license.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 13 / 21
14. OntoBeef and Linked Open Data
OntoBeef & LOD – statistics
OntoBeef has:
797 links with AGROVOC,
211 links with GEneral Multilingual Environmental Thesaurus
(GEMET),
546 links with National Agricultural Library’s Agricultural Thesaurus
(NAL),
and 119 links with STW Thesaurus for Economics.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 14 / 21
15. Applications
Outline
1 Ontologies within ProOptiBeef
2 OntoBeef Evaluation
Concepts choosing
Labels evaluation
Evaluation of the ontological relations
3 OntoBeef and Linked Open Data
4 Applications
Ontology-driven information system
Thesaurus component
5 Conclusion and perspectives
6 Acknowledgment
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 15 / 21
16. Applications Ontology-driven information system
OntoBeef-driven Information System
An ontology-driven information system (IS) is IS in which “ontology
profitably “drivers” all aspects and all components” of it.
OntoBeef
representation
and
search theses
search
articles
Semantic
Oxpecker
Linked
Open
Data
thesaurus
interface
to
the database of
results of
experiments
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 16 / 21
17. Applications Thesaurus component
Thesaurus component
Thesaurus component was developed within Java EE plus OWL-API
framework.
It enables you to browse the ontology. Application enables also
registration and after log in allows reporting suggestions and
comments considering concept labels, ancestors, children and other
ontological properties.
In the top application bar there is LOD part, which displays LOD
connections.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 17 / 21
18. Conclusion and perspectives
Outline
1 Ontologies within ProOptiBeef
2 OntoBeef Evaluation
Concepts choosing
Labels evaluation
Evaluation of the ontological relations
3 OntoBeef and Linked Open Data
4 Applications
Ontology-driven information system
Thesaurus component
5 Conclusion and perspectives
6 Acknowledgment
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 18 / 21
19. Conclusion and perspectives
Conclusions and perspectives
Importance of the OntoBeef ontology for the experts and for the
quality of their communication.
Futures research perspectives for the OntoBeef ontology and its
applications.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 19 / 21
20. Acknowledgment
Outline
1 Ontologies within ProOptiBeef
2 OntoBeef Evaluation
Concepts choosing
Labels evaluation
Evaluation of the ontological relations
3 OntoBeef and Linked Open Data
4 Applications
Ontology-driven information system
Thesaurus component
5 Conclusion and perspectives
6 Acknowledgment
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 20 / 21
21. Acknowledgment
Acknowledgment
Research was realised within the Project no. WND-POIG.01.03.01-00-204/09
Optimising of Beef Production in Poland According to “from Fork to Farm”
Strategy co-financed by the European Regional Development Fund under the
Innovative Economy Operational Programme 2007 – 2013.
Trójczak, Trypuz (KUL, PZPBM) OntoBeef Ontology FedCSIS: Cracow 2013 21 / 21