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Semantic place localization from narratives

COMP '13: Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place

Pages 16 - 19

https://doi.org/10.1145/2534848.2534858

Published: 03 October 2013 Publication History

Abstract

Place narratives provide a rich resource of learning how humans localize places. Place localization can be done in various ways, relative to other spatial referents, and relative to agents and their activities in which these referents may be involved. How can we describe places based on their spatial and semantic relationships to objects, qualities, and activities? How can these relations help us improve automated localization of places implicit in textual descriptions? In this paper, we motivate research on extraction of semantic place localization statements from text corpora which can be used for improving document retrieval and for reconstructing locations. The idea is to combine Semantic Web reasoning with existing geographic information retrieval (GIR) and structural text extraction for this purpose. GIR and Semantic Web technology have matured during the last years, but still largely exist in parallel. Current localization approaches have been focusing on the extraction of unstructured word lists from texts, including toponyms and geographic features, not on human place descriptions on a sentence level.

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Cited By

Papadakis EGao SBaryannis G(2019)Combining Design Patterns and Topic Modeling to Discover Regions That Support Particular FunctionalityISPRS International Journal of Geo-Information10.3390/ijgi80903858:9(385)Online publication date: 3-Sep-2019
https://doi.org/10.3390/ijgi8090385
Papadakis EResch BBlaschke T(2019)Composition of place: towards a compositional view of functional spaceCartography and Geographic Information Science10.1080/15230406.2019.1598894(1-18)Online publication date: 6-Jun-2019
https://doi.org/10.1080/15230406.2019.1598894
Vilaza GLiu CBengler BCapra LRogers YBratteteig TSandnes FBerget G(2018)Here, this and nextProceedings of the 10th Nordic Conference on Human-Computer Interaction10.1145/3240167.3240178(524-536)Online publication date: 29-Sep-2018
https://dl.acm.org/doi/10.1145/3240167.3240178
Show More Cited By

Index Terms

Semantic place localization from narratives
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
    2. Natural language processing
2. Theory of computation
  1. Logic

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Published In

cover image ACM Conferences

COMP '13: Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place

November 2013

75 pages

ISBN:9781450325356

DOI:10.1145/2534848

Copyright © 2013 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 October 2013

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Tutorial
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SIGSPATIAL'13

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SIGSPATIAL

SIGSPATIAL'13: 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 5 - 8, 2013

Orlando FL, USA

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COMP '13 Paper Acceptance Rate 8 of 14 submissions, 57%;

Overall Acceptance Rate 8 of 14 submissions, 57%

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Cited By

Papadakis EGao SBaryannis G(2019)Combining Design Patterns and Topic Modeling to Discover Regions That Support Particular FunctionalityISPRS International Journal of Geo-Information10.3390/ijgi80903858:9(385)Online publication date: 3-Sep-2019
https://doi.org/10.3390/ijgi8090385
Papadakis EResch BBlaschke T(2019)Composition of place: towards a compositional view of functional spaceCartography and Geographic Information Science10.1080/15230406.2019.1598894(1-18)Online publication date: 6-Jun-2019
https://doi.org/10.1080/15230406.2019.1598894
Vilaza GLiu CBengler BCapra LRogers YBratteteig TSandnes FBerget G(2018)Here, this and nextProceedings of the 10th Nordic Conference on Human-Computer Interaction10.1145/3240167.3240178(524-536)Online publication date: 29-Sep-2018
https://dl.acm.org/doi/10.1145/3240167.3240178
Brando CDominguès CCapeyron MJones CPurves R(2016)Evaluation of NER systems for the recognition of place mentions in French thematic corporaProceedings of the 10th Workshop on Geographic Information Retrieval10.1145/3003464.3003471(1-10)Online publication date: 31-Oct-2016
https://dl.acm.org/doi/10.1145/3003464.3003471
Moncla LRenteria-Agualimpia WNogueras-Iso JGaio MHuang YSchneider MGertz MKrumm JSankaranarayanan J(2014)Geocoding for texts with fine-grain toponymsProceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2666310.2666386(183-192)Online publication date: 4-Nov-2014
https://dl.acm.org/doi/10.1145/2666310.2666386

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