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Advanced Data Models

Type Weekly Lecture
Term SS 18

This lecture presents advanced concepts in data modeling. In particular, we will discuss formal methods for the representation and management of data models. In addition, methods for data integration, which are based on these formalizations, will be discussed. The tutorials will present practical examples for the presented concepts.

The lecture follows up on the topics of the lecture "Databases and Information Systems" in which basic methods for data models (e.g. relational model, entity-relationship model, UML, XML Schema) have been discussed. Knowledge about these topics is therefore a prerequisite for this course. Furthermore, knowledge about logic and knowledge representation is helpful. Topics:
  • Big Data and NoSQL systems
  • Semi structured data models (e.g., XML)
  • Object oriented data models (e.g., UML) and object relational models
  • Semantic data models and ontologies (e.g., OWL)
  • NoSQL database systems
  • Mappings between data models
  • Data integration
  • Model Management
  • Schema Evolution
For recent information about the course, please check the entry in the Campus system or the L2P room.

Course dates

Meeting typeDate/TimeRoomStarting on
Lecture Friday, 13:15 - 14:45 5053.2 (opposite to AH 6) 13. April 2018
Tuesday, 14:15 - 15:15 5053.2 (opposite to AH 6) 17. April 2018


Basic course about database systems (e.g., Databases and Information Systems), basic knowledge about modeling and logic.


Course material will be provided in the L2P room. Literature will be announced in the first lecture.

The lecture this year will use the "flipped classroom" concept; thus, parts of the lecture will be provided as online video and additional e-learning material.

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