Pal gov.tutorial4.session6 1.ontologyengineeringchallenges
-
Upload
mustafa-jarrar -
Category
Education
-
view
348 -
download
0
Transcript of Pal gov.tutorial4.session6 1.ontologyengineeringchallenges
1PalGov © 2011 1PalGov © 2011
أكاديمية الحكومة اإللكترونية الفلسطينيةThe Palestinian eGovernment Academy
www.egovacademy.ps
Tutorial 4: Ontology Engineering & Lexical Semantics
Session 6.1
Ontology Engineering Challenges
Dr. Mustafa Jarrar
University of Birzeit
www.jarrar.info
2PalGov © 2011 2PalGov © 2011
About
This tutorial is part of the PalGov project, funded by the TEMPUS IV program of the
Commission of the European Communities, grant agreement 511159-TEMPUS-1-
2010-1-PS-TEMPUS-JPHES. The project website: www.egovacademy.ps
University of Trento, Italy
University of Namur, Belgium
Vrije Universiteit Brussel, Belgium
TrueTrust, UK
Birzeit University, Palestine
(Coordinator )
Palestine Polytechnic University, Palestine
Palestine Technical University, PalestineUniversité de Savoie, France
Ministry of Local Government, Palestine
Ministry of Telecom and IT, Palestine
Ministry of Interior, Palestine
Project Consortium:
Coordinator:
Dr. Mustafa Jarrar
Birzeit University, P.O.Box 14- Birzeit, Palestine
Telfax:+972 2 2982935 [email protected]
3PalGov © 2011 3PalGov © 2011
© Copyright Notes
Everyone is encouraged to use this material, or part of it, but should
properly cite the project (logo and website), and the author of that part.
No part of this tutorial may be reproduced or modified in any form or by
any means, without prior written permission from the project, who have
the full copyrights on the material.
Attribution-NonCommercial-ShareAlike
CC-BY-NC-SA
This license lets others remix, tweak, and build upon your work non-
commercially, as long as they credit you and license their new creations
under the identical terms.
4PalGov © 2011
Tutorial Map
Topic Time
Session 1_1: The Need for Sharing Semantics 1.5
Session 1_2: What is an ontology 1.5
Session 2: Lab- Build a Population Ontology 3
Session 3: Lab- Build a BankCustomer Ontology 3
Session 4: Lab- Build a BankCustomer Ontology 3
Session 5: Lab- Ontology Tools 3
Session 6_1: Ontology Engineering Challenges 1.5
Session 6_2: Ontology Double Articulation 1.5
Session 7: Lab - Build a Legal-Person Ontology 3
Session 8_1: Ontology Modeling Challenges 1.5
Session 8_2: Stepwise Methodologies 1.5
Session 9: Lab - Build a Legal-Person Ontology 3
Session 10: Zinnar – The Palestinian eGovernmentInteroperability Framework
3
Session 11: Lab- Using Zinnar in web services 3
Session 12_1: Lexical Semantics and Multilingually 1.5
Session 12_2: WordNets 1.5
Session 13: ArabicOntology 3
Session 14: Lab-Using Linguistic Ontologies 3
Session 15: Lab-Using Linguistic Ontologies 3
Intended Learning ObjectivesA: Knowledge and Understanding
4a1: Demonstrate knowledge of what is an ontology,
how it is built, and what it is used for.
4a2: Demonstrate knowledge of ontology engineering
and evaluation.
4a3: Describe the difference between an ontology and a
schema, and an ontology and a dictionary.
4a4: Explain the concept of language ontologies, lexical
semantics and multilingualism.
B: Intellectual Skills
4b1: Develop quality ontologies.
4b2: Tackle ontology engineering challenges.
4b3: Develop multilingual ontologies.
4b4: Formulate quality glosses.
C: Professional and Practical Skills
4c1: Use ontology tools.
4c2: (Re)use existing Language ontologies.
D: General and Transferable Skills
d1: Working with team.
d2: Presenting and defending ideas.
d3: Use of creativity and innovation in problem solving.
d4: Develop communication skills and logical reasoning
abilities.
5PalGov © 2011 5PalGov © 2011
Outline and Session ILOs
This session will help students to:
4a2: Demonstrate knowledge of ontology engineering and evaluation.
4b2: Tackle ontology engineering challenges.
6PalGov © 2011 6PalGov © 2011
Ontology Engineering Challenges
Ontology Usability versus Ontology Reusability
Ontology Application Dependence
• Only these challenges will be discussed, but there are many other
challenges that may face an ontology engineer.
• Discussing such challenges will help improve the modeling skills of
an ontology engineer.
7PalGov © 2011 7PalGov © 2011
Ontology Reusability vs UsabilityGiven 4 different LegalPerson ontologies (which is more usable/reusable?)
App1: Ministries’ Web Service to exchange companies’ profiles is based on this ontology.
App2: Champers of commerce’s Web Service to exchange companies’ profiles, based on this ontology.
App3: Banks designed their “new account” form, based on the company properties in this ontology (off time use).
App4: Lawyers refer to the definition of “company”, as stated in this ontology (off time use).
Used by App1, 10 times/day.
Used by App2, 10 times/day.
Used by App3, 10 times/day.
Used by App4, 10000 times/day.
Used by App1, 100 times/day.
Used by App2, 100 times/day.
Used by App3, 100 times/day.
Used by App1, 1000 times/day.
Used by App2, 1000 times/day.
Used by App1, 9000 times/day.O1
O2
O3
O4
8PalGov © 2011 8PalGov © 2011
Ontology Reusability vs Usability
App1: Ministries Web Service to exchange companies profiles is based on this ontology.
App2: Champers of commerce’s Web Service to exchange companies profiles, based on this ontology.
App3: Banks designed their “new account” form, based on the company properties in this ontology (off time use).
App4: Lawyers refer to the definition of “company”, as stated in this ontology (off time use).
Used by App1, 10 times/day.
Used by App2, 10 times/day.
Used by App3, 10 times/day.
Used by App4, 10 times/day.
Used by App1, 100 times/day.
Used by App2, 100 times/day.
Used by App3, 100 times/day.
Used by App1, 1000 times/day.
Used by App2, 1000 times/day.
Used by App1, 9000 times/day.O1
O2
O3
O4
Usability: maximizing the number of different applications using
an ontology for the same kind of task.
Reusability: maximizing the number of different applications using
an ontology over different kind of tasks.
Why Reusability:
1) Saving time, cost, and efforts…
2) Increasing reliability: the more reused the more tested.
3) An important quality factor: a highly reusable ontology is an
indication that it is a good ontology.
How to increase Usability?
by being closer to the application specifications and
requirements at hand.
How to increase Reusability?
by taking into account different usages/applications, i.e. be more
general.
Given 4 different LegalPerson ontologies (which is more usable/reusable?)
9PalGov © 2011 9PalGov © 2011
Ontology Reusability vs Usability
App1: Ministries Web Service to exchange companies profiles is based on this ontology.
App2: Champers of commerce’s Web Service to exchange companies profiles, based on this ontology.
App3: Banks designed their “new account” form, based on the company properties in this ontology (off time use).
App4: Lawyers refer to the definition of “company”, as stated in this ontology (off time use).
Used by App1, 10 times/day.
Used by App2, 10 times/day.
Used by App3, 10 times/day.
Used by App4, 10 times/day.
Used by App1, 100 times/day.
Used by App2, 100 times/day.
Used by App3, 100 times/day.
Used by App1, 1000 times/day.
Used by App2, 1000 times/day.
Used by App1, 9000 times/day.O1
O2
O3
O4
Usability: maximizing the number of different applications using
an ontology for the same kind of task.
Reusability: maximizing the number of different applications using
an ontology over different kind of tasks.
Why Reusability:
1) Savings in time, cost, and efforts…
2) Increasing reliability: the more reused the more tested.
3) An important quality factor: a highly resalable ontology is an
indication that it is a good ontology.
How to increase Usability?
by being closes to the application specifics and requirements at
hand.
How to increase Reusability?
by taking into account different usages/applications, i.e. be more
general.
Tradeoff between usability and reusability
Usability Reusability
The more an ontology is usable the less reusable it will be,
and vice versa.
A good ontology engineer knows how/where to compromise
this tradeoff.
Given 4 different LegalPerson ontologies (which is more usable/reusable?)
10PalGov © 2011 10PalGov © 2011
Ontology Application Dependence
The problem is that when building an ontology, there will always be
intended or expected usability requirements -“at hand”- which influence
the independency level of ontology axioms.
Bylander and Chandrasekaran in [BC88]
“Representing knowledge for the purpose of solving someproblem is strongly affected by the nature of the problem andthe inference strategy to be applied to the problem.”
Ontologies are supposed to capture knowledge at the domain level
independently of application requirements [G97] [GB99] [CJB99].
This problem is as the Interaction Problem:
11PalGov © 2011 11PalGov © 2011
Ontology Application Dependence
Usability perspectives lead to different (and sometimes conflicting)
axiomatizations although these axiomatizations might agree at the domain level.
Bo
oksto
res
Ap
plic
atio
ns
Lib
rary
Ap
plic
atio
ns
?
What is the meaning of a “book” here?
12PalGov © 2011 12PalGov © 2011
Ontology Application Dependence
Usability perspectives lead to different (and sometimes conflicting)
axiomatizations although these axiomatizations might agree at the domain level.
Bo
oksto
res
Ap
plic
atio
ns
Lib
rary
Ap
plic
atio
ns
?
What is the meaning of a “book” here?
Both are not ontologies, they are data schemes.
Can you build a useful and an application-independent ontology?
PalGov © 2011 13
References
Mustafa Jarrar: Towards methodological principles for ontology engineering. PhD
Thesis. Vrije Universiteit Brussel. (May 2005)
Thomas R. Gruber: Toward Principles for the Design of Ontologies Used for Knowledge
Sharing http://tomgruber.org/writing/onto-design.pdf
Nicola Guarino: Formal Ontology and Information Systems http://www.loa-
cnr.it/Papers/FOIS98.pdf
Guarino, N.: Understanding, building, and using ontologies: A commentary to “Using
Explicit Ontologies in KBS Development”, by van Heijst, Schreiber, and Wielinga."
International Journal of Human and Computer Studies No. 46. (1997) pp. 293–310
[HV93] Hemmann, T., Voss, H.: A Reusable and Specializable Interpretation Model for
ModelBased Diagnosis. In: Luckenhoff, C., Fensel, D., Studer, D. (eds.): Proceeding
3rd KADS Meeting Siemens AG. Munich. March (1993) pp. 189–205