Web Data Integration (HWS2013)

Data integration is one of the key challenges within most IT projects. Within the enterprise context, data integration problems arise whenever data from separate sources needs to be combined as the basis for new applications. Within the context of the Web, data integration techniques form the foundation for taking advantage of the ever growing number of publicly-accessible data sources and for enabling applications such as product comparison portals, location-based mashups, and entity search engines.  In the course, students will learn techniques for integrating and cleansing data from large sets of heterogeneous data sources. The course will cover the following topics:

  • Heterogeneity and Distributedness
  • The Data Integration Process
  • Structured Data on the Web
  • Web Data Formats
  • Schema Mapping and Data Translation
  • Identity Resolution
  • Data Quality Assessment
  • Data Fusion

The course consists of a lecture together with accompanying practical exercises.  In the exercises the participants will gather expertise in applying state of the art data integration techniques along the case study of a real-world Web data integration project. Students will work on their projects in teams and will report about the results of their projects in the form of a written report as well as an oral presentation.

Post-exam Review

  • Friday, February 24, 2014. Please send an email to Christian Bizer in order to get an apointment.

Time and Location

  • Thursday, 13:45 bis 15:15. Building: B6, 23-25 Bauteil A, Room: A 101
  • Friday, 12:00 bis 13:30.Building: B6, 23-25 Bauteil A, Room: A 104


Final mark

  • 50 % written exam
  • 50 % project work

Slides and Projects 

  1. Slide set: Introduction and Course Outline
  2. Slide set: Types of Structured Data on the Web
  3. Slide set: Web Data Formats Part 1, Part 2
  4. Slide set: Schema Mapping and Data Translation
  5. Exercise 1: Introduction, MapForce
  6. Slide set: Identity Resolution
  7. Exercise 2: slides, template Eclipse project
  8. Slides set: Data Quality Assessment and Data Fusion
  9. Exercise 3: slides, template Eclipse project

Course Evaluation 

  • Results of the evaluation of the course by the participants from HWS2013.


  • The course is open to students of the Master Business Informatics 
  • The course is restricted to 20 participants
  • Students can register by joining the ILIAS group


  • Basic programming skills in Java are required for the exercise


Week Thursday Friday
2.9.2013 Lecture: Introduction to Web Data Integration Lecture:  Structured Data on the Web
9.9.2013 Lecture: Web Data Formats Lecture: Web Data Formats
16.9.2013 Lecture: Schema Mapping Lecture: Schema Mapping
23.9.2013 Exercise: Introduction to Student Projects Lecture: Introduction to MapForce
30.9.2013 Public holiday No lecture; prepare your abstract!
7.10.2013 Exercise: Data Translation Exercise: Data Translation
14.10.2013 Lecture: Identity Resolution Lecture: Identity Resolution
21.10.2013 Exercise: Identity Resolution Exercise: Identity Resolution
28.10.2013 Exercise: Identity Resolution Public holiday
4.11.2013 Exercise: Identity Resolution Lecture: Data Quality and Data Fusion
11.11.2013 Lecture: Data Quality and Data Fusion Lecture: Data Quality and Data Fusion
18.11.2013 Exercise: Data Fusion Exercise: Data Fusion
25.11.2013 Exercise: Data Fusion Exercise: Data Fusion
2.12.2013 Presentation of project results Presentation of project results


  1. AnHai Doan, Alon Halevy, Zachary Ives: Principles of Data Integration. Morgan Kaufmann, 2012.
  2. Ulf Leser, Felix Naumann: Informationsintegration. Dpunkt Verlag, 2007.
  3. Serge Abiteboul, et al: Web Data Management. Cambridge University Press, 2012.
  4. Jérôme Euzenat, Pavel Shvaiko: Ontology Maching. Springer, 2007.
  5. Felix Naumann: An Introduction to Duplicate Detection. Morgan & Claypool, 2012.
  6. Peter Christen: Data Matching - Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Springer, 2012.