Geospatial mapping and navigation of the web
Proceedings of the 10th international conference on World Wide Web
Computing Geographical Scopes of Web Resources
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Web-a-where: geotagging web content
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
A case study of using geographic cues to predict query news intent
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Geo-mining: discovery of road and transport networks using directional patterns
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
A geocoding method for natural route descriptions using sidewalk network databases
W2GIS'04 Proceedings of the 4th international conference on Web and Wireless Geographical Information Systems
Identifying destinations automatically from human generated route directions
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
User-Contributed relevance and nearest neighbor queries
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
On quantifying qualitative geospatial data: a probabilistic approach
Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
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The need to collect vast amounts of geospatial data is driven by the emergence of geo-enabled Web applications and the suitability of geospatial data in general to organize information. Given that geospatial data collection and aggregation is a resource intensive task typically left to professionals, we, in this work, advocate the use of information extraction (IE) techniques to derive meaningful geospatial data from plain texts. Initially focusing on travel information, the extracted data can be visualized as routes derived from narratives. As a side effect, the processed text is annotated by this route, which can be seen as an improved geocoding effort. Experimentation shows the adequacy and accuracy of the proposed approach by comparing extracted routes to respective map data.