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KNOWLEDGE-BASED AND DATA-DRIVEN APPROACHES FOR GEOGRAPHICAL INFORMATION ACCESS

Author
Ferres, D.
Type of activity
Theses
Other related units
Department of Computer Science
Defense's date
2017-11-29
URL
http://hdl.handle.net/2117/114615 Open in new window
Abstract
Geographical Information Access (GeoIA) can be defined as a way of retrieving information from textual collections that includes the automatic analysis and interpretation of the geographical constraints and terms present in queries and documents. This PhD thesis presents, describes and evaluates several heterogeneous approaches for the following three GeoIA tasks: Geographical Information Retrieval (GIR), Geographical Question Answering (GeoQA), and Textual Georeferencing (TG). The GIR task deal...
Group of research
GPLN - Natural Language Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
Citation
Ferrés Domènech, D. "Knowledge-based and data-driven approaches for geographical information access". Tesi doctoral, UPC, Departament de Llenguatges i Sistemes Informàtics, 2017.

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