Linking context and proximity through web corpus

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

3 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th Workshop on Geographic Information Retrieval, GIR 2013
PublisherAssociation for Computing Machinery
Pages45-46
Number of pages2
ISBN (Print)9781450322416
DOIs
StatePublished - 2013
Event7th Workshop on Geographic Information Retrieval, GIR 2013 - Orlando, FL, United States
Duration: Nov 5 2013Nov 5 2013

Other

Other7th Workshop on Geographic Information Retrieval, GIR 2013
CountryUnited States
CityOrlando, FL
Period11/5/1311/5/13

All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Xu, S., & Klippel, A. (2013). Linking context and proximity through web corpus. In Proceedings of the 7th Workshop on Geographic Information Retrieval, GIR 2013 (pp. 45-46). Association for Computing Machinery. https://doi.org/10.1145/2533888.2533936