Many applications required integration of data from different sources, such as data mining and data / information fusion, etc., and the problem facing any project like this is that data structure different way and the terms and their meanings different from each other, and in this paper we will discuss the most important problems and how solve it using ontology.

1. Knowledge Engineering Course (SCOM7348)
University of Birzeit, Palestine
December, 2012
Synthesis Paper Talk
Ontology-Based
Data Integration
Ali Ahmad Al Jadaa
Master of Computing, Birzeit University
Ali.ps@live.com
This is a student talk, at the Knowledge Engineering course, each student is is
asked to present his/her synthesis paper.
Course Page: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html
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2. Content
• Abstract
• What is data integration
• What is Semantic
• What is Ontology
• Heterogeneity conflicts
• References
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3. Abstract
Many applications required integration of data
from different sources, such as data mining
and data / information fusion, etc., and the
problem facing any project like this is that
data structure different way and the terms and
their meanings different from each other, and
in this paper we will discuss the most
important problems and how solve it using
ontology.
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4. What is data integration
• Data coming from different sources
and providing users with a unified view
of these data .
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5. What is Semantic
• Understand the meaning .
• Relation between signifiers .
• Difference with other
≠
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6. What is Ontology
• Set of concepts within a domain, and the
relationships between pairs of concepts. It
can be used to model a domain and support
reasoning about entities .
• Dictionary Computers can be understand
• List of things that exist
• Description of the kinds of entities there are
and how they are related
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7. Quick Review
• Now we know About semantic and
ontology and data integration .
• We see if we make an Ontology of data
integration ,so we will Collide of
different heterogeneity of data source .
• So we must know about Heterogeneity
conflicts
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8. Heterogeneity conflicts
• Syntactic heterogeneity : differences between
data models (entity-relationship, relational,
object oriented) .
• Structural heterogeneity (schematic
heterogeneity) : different information systems
store their data in different structures.
• Semantic heterogeneity :the meaning of the
information that is interchanged must be
understood across the systems
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9. References
• Ontology-Based Integration of Data Sources Michel Gagnon Defence
R&D Canada – Valcartier Department National Defence Québec,
Canada Michel.Gagnon@drdc-rddc.g
• Ontology-Based Data Integration Methods: A Framework for
Comparison Agustina Buccella*, Alejandra Cechich* and Nieves R.
Brisaboa
• Wikipedia, the free encyclopedia
en.wikipedia.org/wiki/Data_integration
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10. Thank You
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