Web Data Integration (HWS2018)

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 or data analysis projects. 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, job portals, location-based mashups, or data 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:

  1. Heterogeneity and Distributedness

  2. The Data Integration Process

  3. Structured Data on the Web

  4. Data Exchange Formats

  5. Schema Mapping and Data Translation

  6. Identity Resolution

  7. Data Quality Assessment

  8. Data Fusion

The course consists of a lecture as well as accompanying practical projects. The lecture (IE670) covers the theory and methods of web data integration and is concluded by a written exam (3 ECTS). In the projects (IE683), students will gain experience with web data integration methods by applying them within a real-world use case of their choise. Students will work on their projects in teams and will report the results of their projects in the form of a written report as well as an oral presentation (together 3 ECTS). While the lecture and the project can be attended in seperate years, it is highly recommended to attend both in the same semester as the schedule of the lecture and project are aligned to each other.

Exam Review

  • The exam review will take place on the 1st of March 2019 at 14:00 Uhr in room B6 C101.

Time and Location

  • Wednesday, 15:30–17:00. Building: B6, Room: A 101 (Starting: 5.9.2018)
  • Thursday, 10:15–11:45. Building: B6, Room: A 101 (Starting: 6.9.2018)
  • The exercises take place in rooms A 101 (Group 1) and A 305 (Group 2)


  • 3 ECTS: Lecture with written exam (IE670)
  • 3 ECTS: Project with report and presentation (IE683)

Lecture Videos

Video recordings of the Web Data Integration lectures from HWS2015 are available here.