Title
Linking context and proximity through web corpus
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.
Year
DOI
Venue
2013
10.1145/2533888.2533936
GIR
Keywords
Field
DocType
euclidean distance,different contextual factor,human conceptualize proximity,linguistically specified proximity relationship,contextual factor,web corpus,potential contextual factor,spatial proximity,spatial language corpus,web-based corpus method,vague spatial relationship,proximity
Data mining,Crawling,Name resolution,Information retrieval,Computer science,Spatial relationship,Euclidean distance,Spatial cognition,Conceptualization,Spatial contextual awareness,Named-entity recognition
Conference
Citations 
PageRank 
References 
2
0.38
1
Authors
2
Name
Order
Citations
PageRank
Sen Xu1283.48
Alexander Klippel248349.70