Geolocating Orientational Descriptions of Landmark Configurations

Computational Models of Spatial Language Interpretation and Generation 2011.

地球科学;计算机科学

James Pustejovsky ; Marc Verhagen ; Anthony Stefanidis ; Caixia Wang

Others  :  http://ceur-ws.org/Vol-759/paper05.pdf
PID  :  42060

学科分类：计算机科学（综合）

来源: CEUR

【 摘 要 】

In this paper we outline how to translate verbal subjective descriptions of spatial relations into metrically meaningful positional information, and extend this capability to spatiotemporal monitoring. Document collections, transcriptions, cables, and narratives routinely make reference to objects moving through space over time. Integrating such information derived from textual sources into a geosensor data system can enhance the overall spatiotemporal representation in changing and evolving situations, such as when tracking objects through space with limited image data.We focus on landmark identification, since it proves to be a more tractable problem than open-domain image recognition.