The Community for Technology Leaders
European Intelligence and Security Informatics Conference (2012)
Odense, Denmark Denmark
Aug. 22, 2012 to Aug. 24, 2012
ISBN: 978-1-4673-2358-1
pp: 334-339
This paper explores a linguistically-oriented method for assigning fine-grained geotagging information to border security-related events reported in online news. It is based on a Cognitive Linguistics model of the semantics of the Locative Prepositional Phrases (LPP) containing place names in news text. We first propose a corpus annotation standard that assigns certain semantic features, such as Locative Relations, to the place names in news articles. Then, based on this, we build a finite state rule-based system that automatically extracts such features and evaluate how they can help discarding implausible event locations. The goal of the experiment is rather a proof of concept that such semantic information can help outperform standard geotagging methods in the border security domain, nonetheless we argument that systems could be built semi-automatically and across languages, based on the proposed annotation standard.
Semantics, Geology, Grammar, Data mining, Standards, Security, Cities and towns

V. Zavarella, J. Piskorski, A. S. Esteves and S. Bucci, "Refining Border Security News Event Geotagging through Deployment of Lexico-Semantic Patterns," 2012 European Intelligence and Security Informatics Conference (EISIC), Odense, 2012, pp. 334-339.
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