Universität Wien

290061 PS Principles and Methods of Application Development - Geographic Information Retrieval (2024W)

4.00 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

No class on:
Thursday 12.12.2024 15:00 - 17:00
Thursday 09.01.2025 15:00 - 17:00

  • Thursday 03.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 10.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 17.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 24.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 31.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 07.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 14.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 21.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 28.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 05.12. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 12.12. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Thursday 16.01. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110

Information

Aims, contents and method of the course

The size, modality, and source of information about any place or region in the world are constantly changing. To support a wide variety of downstream tasks such as geographic question answering, geographic information retrieval (GIR) provides us with an approach of accessing, searching, indexing, and integrating geographic information. Applications related to GIR include the construction of gazetteers, Web search engines, location-based recommendation services, and so forth.

The course will cover GIR’s core concepts, techniques and challenges, such as the ambiguity of place names, topological relations, georeferencing, spatial indexing and ranking, and user interface development. Through literature review and Python-based practical exercises, students will also learn how to query structured data from geographic databases, how to geoparse unstructured texts to extract location references, and geospatial semantic analysis and interactive geo-visualization with retrieved information.

Detailed course syllabus is available at: https://meilinshi.github.io/290061-Geographic-Information-Retrieval/intro.html

Assessment and permitted materials

Active participation (10%)
Four assignments (60%)
Final (group) project and presentation (30%)

Minimum requirements and assessment criteria

Personal contribution and teamwork that demonstrate an appropriate understanding of the approaches and methods discussed.

Examination topics

Reading list

1. Purves, R. S., Clough, P., Jones, C. B., Hall, M. H., & Murdock, V. (2018). Geographic information retrieval: Progress and challenges in spatial search of text. Foundations and Trends® in Information Retrieval, 12(2-3), 164-318.
2. Presentation and slides (including references)

Association in the course directory

(MK2-PI)

Last modified: Mo 30.09.2024 10:26