Universität Wien

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

4.00 ECTS (2.00 SWS), SPL 29 - Geographie
Prüfungsimmanente Lehrveranstaltung
Moodle
Do 24.10. 15:00-17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110

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Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

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

  • Donnerstag 03.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 10.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 17.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 31.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 07.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 14.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 21.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 28.11. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 05.12. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 12.12. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 09.01. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 16.01. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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

Art der Leistungskontrolle und erlaubte Hilfsmittel

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

Mindestanforderungen und Beurteilungsmaßstab

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

Prüfungsstoff

Literatur

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)

Zuordnung im Vorlesungsverzeichnis

(MK2-PI)

Letzte Änderung: Mo 30.09.2024 10:26