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Linking context and proximity through web corpus

Authors:

Sen Xu,

Alexander KlippelAuthors Info & Claims

GIR '13: Proceedings of the 7th Workshop on Geographic Information Retrieval

Pages 45 - 46

https://doi.org/10.1145/2533888.2533936

Published: 05 November 2013 Publication History

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Abstract

Proximity, a vague spatial relationship between a reference object (RO) and a located object (LO), has been shown to be influenced by many contextual factors rather than determined solely by the Euclidean distance between RO and LO. In this paper, a list of potential contextual factors that may influence how human conceptualize proximity was reviewed. Focusing on RO, LO, and geographical context we adopted a web-based corpus method by crawling the Web to build a spatial language corpus on linguistically specified proximity relationships. Spatial named entity recognition and entity resolution were used to extract RO, LO, and contextual factors out from the corpus. By mapping and analyzing the correlation between distance and contextual factors, this study provides insights on how different contextual factors influence the conceptualization of spatial proximity.

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Novel MGrütter RBoley HBernstein A(2020)Nearness as context-dependent expression: an integrative review of modeling, measurement and contextual propertiesSpatial Cognition & Computation10.1080/13875868.2020.1754832(1-73)Online publication date: 22-May-2020
https://doi.org/10.1080/13875868.2020.1754832
Jamil HAkerkar RCuzzocrea ACao JHacid M(2017)Efficient top-k shortest path query processing in sparse graph databasesProceedings of the 7th International Conference on Web Intelligence, Mining and Semantics10.1145/3102254.3102264(1-10)Online publication date: 19-Jun-2017
https://dl.acm.org/doi/10.1145/3102254.3102264

Index Terms

Linking context and proximity through web corpus
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources

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GIR '13: Proceedings of the 7th Workshop on Geographic Information Retrieval

November 2013

92 pages

ISBN:9781450322416

DOI:10.1145/2533888

Editors:
Chris Jones
Cardiff University
,
Ross Purves
University of Zurich

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 05 November 2013

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

November 5, 2013

Florida, Orlando

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Novel MGrütter RBoley HBernstein A(2020)Nearness as context-dependent expression: an integrative review of modeling, measurement and contextual propertiesSpatial Cognition & Computation10.1080/13875868.2020.1754832(1-73)Online publication date: 22-May-2020
https://doi.org/10.1080/13875868.2020.1754832
Jamil HAkerkar RCuzzocrea ACao JHacid M(2017)Efficient top-k shortest path query processing in sparse graph databasesProceedings of the 7th International Conference on Web Intelligence, Mining and Semantics10.1145/3102254.3102264(1-10)Online publication date: 19-Jun-2017
https://dl.acm.org/doi/10.1145/3102254.3102264

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Named Entity Linking in English-Czech Parallel Corpus

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