TY  - CONF
N2  - In the context of digital map libraries, resources are usually described according to metadata records that define the relevant subject, location, time-span, format and keywords. On what concerns locations and time-spans, metadata records are often incomplete or they provide information in a way that is not machine-understandable (e.g. textual descriptions). This paper presents techniques for extracting geotemporal information from text, using relatively simple text mining methods that leverage on a Web gazetteer service. The idea is to go from human-made geotemporal referencing (i.e. using place and period names in textual expressions) into geo-spatial coordinates and time-spans. A prototype system, implementing the proposed methods, is described in detail. Experimental results demonstrate the efficiency and accuracy of the proposed approaches.
PB  - e-Perimetron
SN  - ISSN 1790-3769
M2  - Barcelona, España
A1  - Martins, Bruno
A1  - Manguinhas, H.
A1  - Borbinha, José
A1  - Siabato Vaca, Willington Libardo
AV  - public
Y1  - 2009///
UR  - http://www.e-perimetron.org/Vol_4_1/Martins_et_al.pdf
T2  - Third International Workshop Digital Approaches to Cartographic Heritage
VL  - 4, Iss
CY  - Grecia
ID  - upm4367
TI  - A geo-temporal information extraction service for processing descriptive metadata in digital libraries
ER  -