Paper Info
Title
A Computational Model for Context and Spatial Concepts.
Abstract
A natural language interface can improve human-computer interaction with Geographic Information Systems (GIS). A prerequisite for this is the mapping of natural language expressions onto spatial queries. Previous mapping approaches, using, for example, fuzzy sets, failed because of the flexible and context-dependent use of spatial terms. Context changes the interpretation drastically. For example, the spatial relation "near" can be mapped onto distances ranging anywhere from kilometers to centimeters. We present a context-enriched semiotic triangle that allows us to distinguish between multiple interpretations. As formalization we introduce the notation of contextualized concepts that is tied to one context. One concept inherits multiple contextualized concepts such that multiple interpretations can be distinguished. The interpretation for one contextualized concept corresponds to the intention of the spatial term, and is used as input for a spatial query. To demonstrate our computational model, a next generation GIS is envisioned that maps the spatial relation "near" to spatial queries differently according to the influencing context.
Year
DOI
Venue
2016
10.1007/978-3-319-33783-8_1
Lecture Notes in Geoinformation and Cartography
Keywords
Field
DocType
Computational model for context,Context,Spatial concepts,Contextualized concept,Near
Spatial relation,Geographic information system,Notation,Systems engineering,Expression (mathematics),Computer science,Theoretical computer science,Context model,Natural language user interface,Natural language,Spatial query
Conference
ISSN
Citations 
PageRank 
1863-2246
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Juergen Hahn1243.58
Paolo Fogliaroni2264.27
Andrew U. Frank3835332.71
Gerhard Navratil4154.61