1. ‫أكاديمية الحكومة اإللكترونية الفلسطينية‬
The Palestinian eGovernment Academy
www.egovacademy.ps
Tutorial II: Data Integration and Open Information Systems
Module 13.3
Data Integration and Fusion using RDF
Dr. Mustafa Jarrar
University of Birzeit
mjarrar@birzeit.edu
www.jarrar.info
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2. 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
Project Consortium:
Birzeit University, Palestine
University of Trento, Italy
(Coordinator )
Palestine Polytechnic University, Palestine Vrije Universiteit Brussel, Belgium
Palestine Technical University, Palestine
Université de Savoie, France
Ministry of Telecom and IT, Palestine
University of Namur, Belgium
Ministry of Interior, Palestine
TrueTrust, UK
Ministry of Local Government, Palestine
Coordinator:
Dr. Mustafa Jarrar
Birzeit University, P.O.Box 14- Birzeit, Palestine
Telfax:+972 2 2982935 mjarrar@birzeit.eduPalGov © 2011
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3. © 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.
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4. Tutorial Map
Topic h
Intended Learning Objectives
Session 1: XML Basics and Namespaces 3
A: Knowledge and Understanding
Session 2: XML DTD’s 3
2a1: Describe tree and graph data models.
Session 3: XML Schemas 3
2a2: Understand the notation of XML, RDF, RDFS, and OWL.
2a3: Demonstrate knowledge about querying techniques for data Session 4: Lab-XML Schemas 3
models as SPARQL and XPath. Session 5: RDF and RDFs 3
2a4: Explain the concepts of identity management and Linked data. Session 6: Lab-RDF and RDFs 3
2a5: Demonstrate knowledge about Integration &fusion of Session 7: OWL (Ontology Web Language) 3
heterogeneous data. Session 8: Lab-OWL 3
B: Intellectual Skills Session 9: Lab-RDF Stores -Challenges and Solutions 3
2b1: Represent data using tree and graph data models (XML & Session 10: Lab-SPARQL 3
RDF). Session 11: Lab-Oracle Semantic Technology 3
2b2: Describe data semantics using RDFS and OWL. Session 12_1: The problem of Data Integration 1.5
2b3: Manage and query data represented in RDF, XML, OWL. Session 12_2: Architectural Solutions for the Integration Issues 1.5
2b4: Integrate and fuse heterogeneous data. Session 13_1: Data Schema Integration 1
C: Professional and Practical Skills Session 13_2: GAV and LAV Integration 1
2c1: Using Oracle Semantic Technology and/or Virtuoso to store Session 13_3: Data Integration and Fusion using RDF 1
and query RDF stores. Session 14: Lab-Data Integration and Fusion using RDF 3
D: General and Transferable Skills
2d1: Working with team. Session 15_1: Data Web and Linked Data 1.5
2d2: Presenting and defending ideas. Session 15_2: RDFa 1.5
2d3: Use of creativity and innovation in problem solving.
2d4: Develop communication skills and logical reasoning abilities. Session 16: Lab-RDFa 3
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5. Module ILOs
After completing this module students will be able to:
- Explain the concepts of identity management and linked data.
- Integrate and fuse heterogeneous data.
- Represent data using the graph data model (RDF).
- Manage and query data represented in RDF.
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6. Example from the Government Domain
• Consider this simplified example from the Government domain.
Consider three governmental agencies that record information about
companies.
• In this example, we will integrate the three databases by transforming
each one into RDF and then concatenating the resultant RDF tables
into one table. After that, we investigate the concatenated data and link
the different resources.
• Data integration is simply achieved through concatenation of RDF
graphs and linking different resources. It is also achieved when
building and executing the queries over the concatenated dataset.
Companies DB in Companies DB in Companies DB in
Ministry of Justice Chamber of Commerce Ministry of Economy
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7. Ministry of Justice
• Ministry of Justice records some information about companies in
addition to the advocates that represent the companies.
Company
Advocate
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8. Ministry of Justice: To RDF
Company
Advocate
To RDF …
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9. Chamber of Commerce
• Chamber of Commerce records information about companies in
addition to information about companies’ owners.
Company
Owner
Company_Owner
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10. Chamber of Commerce: To RDF
To RDF …
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11. Ministry of Economy
• Ministry of Economy records information about companies, their
owners, and their advocates.
Company
Owner
Lawyer
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12. Ministry of Economy: To RDF
To RDF …
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13. Integration of RDF Data
As simple as …
S P O S P O S P O
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14. In our example
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15. Linking resources
• How are same entities described in different datasets linked?
• By linking the Global Identifier, that is, the URI**!
• Let’s have a look:
:YH852 owl:sameAs :8327848
: H782YU owl:sameAs :L85652r
:YH852 owl:sameAs :4354JU
- Links the company called “Palestine - Links the lawyer called “Tony Deik” recorded in
Antiques” in the three databases. the ministry of Justice and the ministry of
- This is called entity resolution/ national economy.
disambiguation. - This is called entity resolution/ disambiguation.
**
Note that in our example we used colons to distinguish URIs. For example :JK452, :H782YU,
:Country, and :Name are all URIs.
For example: “:H782YU” might actually be something like: http://www.palgov.ps//H782YU
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16. Data Integration and Fusion
Source: Christian Bizer
• Concatenating RDF graphs
and linking entities in different
datasets forms an integrated
view where applications see
all datasets as one integrated
database.
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17. References
• Chris Bizer: The Emerging Web of Linked Data. Presentation at SRI
International, Artificial Intelligence Center. Menlo Park, USA. 2009.
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