A natural language interface for crime-related spatialqueries

Authors:
Chengyang Zhang;Yan Huang;Rada Mihalcea;Hector Cuellar
Affiliations:
Department of Computer Science and Engineering, University of North Texas, Denton, TX;Department of Computer Science and Engineering, University of North Texas, Denton, TX;Department of Computer Science and Engineering, University of North Texas, Denton, TX;Department of Computer Science and Engineering, University of North Texas, Denton, TX
Venue:
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Year:
2009

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Abstract

Web-based mapping applications such as Google Maps or Virtual Earth have become increasingly popular. However, current map search is still keyword-based and supports a limited number of spatial predicates. In this paper, we build towards a natural language query interface to spatial databases to answer crime-related spatial queries. The system has two main advantages compared with interfaces such as Google Maps: (1) It allows query conditions to be expressed in natural language, and (2) It supports a larger number of spatial predicates, such as "within 3 miles" and "close to". The system is evaluated using a set of crime-related queries run against a dataset that contains many spatial layers in the Denton, Texas area. The results show that our approach significantly outperforms Google Maps when processing complicated spatial queries.