Using contexts and constraints for improved geotagging of human trafficking webpages

Rahul Kapoor, Mayank Kejriwal, Pedro Szekely
2017 Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data - GeoRich '17  
Extracting geographical tags from webpages is a well-motivated application in many domains. In illicit domains with unusual language models, like human trafficking, extracting geotags with both high precision and recall is a challenging problem. In this paper, we describe a geotag extraction framework in which context, constraints and the openly available Geonames knowledge base work in tandem in an Integer Linear Programming (ILP) model to achieve good performance. In preliminary empirical
more » ... stigations, the framework improves precision by 28.57% and F-measure by 36.9% on a difficult human trafficking geotagging task compared to a machine learning-based baseline. The method is already being integrated into an existing knowledge base construction system widely used by US law enforcement agencies to combat human trafficking.
doi:10.1145/3080546.3080547 dblp:conf/sigmod/KapoorKS17 fatcat:alwhn2sdxrb2xphqtkqjezbypu