Abstract
In this paper, we develop a framework for interpreting linguistic descriptions of places and locations as well as objects in motion as found in natural language texts. We present an overview of existing qualitative spatiotemporal models in order to discuss a more dynamic model of motion called Dynamic Interval Temporal Logic (DITL). The resulting static and dynamic descriptions are represented in a spatiotemporal markup language called STML. The STML output then enables a grounding within a metric representation such as Google Earth, through an automatic conversion to KML. Consistent with the STML output, DITL provides a semantics for STML for subsequent reasoning about the text. © Springer-Verlag 2010.
Cite
CITATION STYLE
Pustejovsky, J., Moszkowicz, J., & Verhagen, M. (2010). The recognition and interpretation of motion in language. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6008 LNCS, pp. 236–256). https://doi.org/10.1007/978-3-642-12116-6_20
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