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290061 PS Principles and Methods of Application Development - Geographic Information Retrieval (2023W)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 04.09.2023 09:00 to Mo 18.09.2023 09:00
- Registration is open from We 20.09.2023 09:00 to Fr 29.09.2023 12:00
- Deregistration possible until Tu 31.10.2023 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 05.10. 15:00 - 16:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 19.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 09.11. 16:00 - 18:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 16.11. 16:00 - 18:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 23.11. 16:00 - 18:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 30.11. 16:00 - 18:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 07.12. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 14.12. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 11.01. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 18.01. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 25.01. 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.
Assessment and permitted materials
Active participation (10%)
Three to four assignments (60%)
Final (group) project and presentation (30%)
Three to 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)
2. Presentation and slides (including references)
Association in the course directory
(MK2-PI)
Last modified: We 18.10.2023 14:48