LFU:online

Under the successful completion of this course students understand the basics of creating, managing and analysing spatial data used in Geoinformation systems and semantic data as used in Linked Open Data. A creation and integration pipeline for both data types will be applied by the students for information integration. They acquire the ability to use selected methods of relational databases (SQL), geoinformation systems and semantic technologies and are capable of creating semantic data related to geodata. 

• Introduction to a data processing pipeline using semantic and geoinformation methodologies for information integration.
• Technological and theoretical backgrounds of geodata and geoinformation systems.
• Technological and theoretical backgrounds of ontologies and semantic technologies.
• Examples of semantic and geodata creation in different fields, like (historic) texts or structured data.
• Basic skills in semantic technologies (RDF-creation) and geoinformation processing.
• Practical skills to create, manage, manipulate data in Postgres and Triple stores and visualize/analyse them in Geoinformation systems through a mini project.

Presentation of lecture slides by lecturer to provide a summary of learning material; using of flipped classroom and exercises in the class for hands-on exercises working with databases and geodata. Creation and query of RDF data; working on mini projects and presentation of results by participants.

Participants are graded through marks of oral exams for the lecture part and in-class presentation of  classroom exercises and mini projects. Details will be announced in the first session.

• N. Bartelme (2005): Geoinformatik, Springer.
• J, Campbell, M. Shin (2011) Essentials of Geographic Information Systems, ISBN 13: 9781453321966.
• D. Bodenhamer, J. Corrigan, T. Harris (2010) The Spatial Humanities.
• D. Allemang, J. Hendler (2011) Semantic Web for the Working Ontologist, 2nd edn. Morgan Kaufmann.

Participants are required to use their (laptop) computers (Windows, Linux, Mac) to the class for hands-on exercises. Basic knowledge of relational databases and SQL is necessary.

The following tools will be used:

• GIS: QGIS (https://www.qgis.org/de/site/)
• Database: Postgres/Postgis (https://www.postgresql.org/)
• Semantic Data: Ontotext-Refine (https://www.ontotext.com/products/ontotext-refine/ ) or Karma (https://usc-isi-i2.github.io/karma/); GraphDB (https://www.ontotext.com/products/graphdb/).