Universität Wien

290061 PS Principles and Methods of Application Development - Geographic Information Retrieval (2023W)

4.00 ECTS (2.00 SWS), SPL 29 - Geographie
Prüfungsimmanente Lehrveranstaltung
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Donnerstag 05.10. 15:00 - 16:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 19.10. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 09.11. 16:00 - 18:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 16.11. 16:00 - 18:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 23.11. 16:00 - 18:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 30.11. 16:00 - 18:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 07.12. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 14.12. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 11.01. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 18.01. 15:00 - 17:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
  • Donnerstag 25.01. 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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Active participation (10%)
Three to 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: Mi 18.10.2023 14:48