Identifying destinations automatically from human generated route directions

Xiao Zhang, Prasenjit Mitra, Alexander Klippel, Alan M. MacEachren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Automatic and accurate extraction of destinations in human-generated route descriptions facilitates visualizing text route descriptions on digital maps. Such information further supports research aiming at understanding human cognition of geospatial information. However, as reproted in previous work, the recognition of destinations is not satisfactory. In this paper, we show our approach and achievements in improving the accuracy of destination name recognition. We identified and evaluated multiple features for classifying a named entity to be either "destination" or "non- destination"; after that, we use a simple yet effective post-processing algorithm to improve classification accuracy. Comprehensive experiments confirm the effectiveness of our approach.

Original languageEnglish
Title of host publicationGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Pages373-376
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2011 - Chicago, IL
Duration: 1 Nov 20114 Nov 2011

Other

Other19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2011
CityChicago, IL
Period1/11/114/11/11

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Keywords

  • destination name classification
  • driving directions
  • geospatial information extraction

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Computer Science Applications
  • Modelling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Information Systems

Cite this

Zhang, X., Mitra, P., Klippel, A., & MacEachren, A. M. (2011). Identifying destinations automatically from human generated route directions. In GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems (pp. 373-376) https://doi.org/10.1145/2093973.2094026