290061 PS Principles and Methods of Application Development - Geographic Information Retrieval (2023W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 04.09.2023 09:00 bis Mo 18.09.2023 09:00
- Anmeldung von Mi 20.09.2023 09:00 bis Fr 29.09.2023 12:00
- Abmeldung bis Di 31.10.2023 23:59
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%)
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)
2. Presentation and slides (including references)
Zuordnung im Vorlesungsverzeichnis
(MK2-PI)
Letzte Änderung: Mi 18.10.2023 14:48