Paper Info
Title
Nearness as context-dependent expression: an integrative review of modeling, measurement and contextual properties
Abstract
Nearness expressions such as "near" are context-dependent spatial relations and are subject to the context variability effect. Depending on the provided context, "near" has a different semantic extension. We perform a literature review to identify the effect of context on "near". To integrate the insights from different disciplines, we apply Turney's contextualization framework which distinguishes between two types of features: primary and contextual. Primary features are the qualitative and quantitative distance measures and contextual features are the context factors used to determine a threshold on the nearness measurements. Additionally, we identify the appropriate features for different spatial tasks discussed in the literature. By doing so, we seek to build a foundation for a context-dependent model for "near".
Year
DOI
Venue
2020
10.1080/13875868.2020.1754832
SPATIAL COGNITION AND COMPUTATION
Keywords
DocType
Volume
Cognitive modelling,common sense and qualitative models of space,spatial language,uncertainty,vagueness,nearness,context dependency
Journal
20.0
Issue
ISSN
Citations 
3
1387-5868
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Marc Novel100.34
Rolf Grütter29614.00
Harold Boley3860101.86
Abraham Bernstein415613.80