Paper Info
Title
From Descriptions to Depictions: A Conceptual Framework
Abstract
People use verbal descriptions and graphical depictions to communicate spatial information, thus externalizing their spatial mental representations. In many situations, such as in emergency response, the ability to translate the content of verbal descriptions into a sketch map could greatly assist with the interpretation of the message. In this paper, we present an outline of a semi-automatic framework enabling seamless transition between verbal descriptions and graphical sketches of precinct-scale urban environments. The proposed framework relies on a three-step approach: NL parsing, with spatial named entity and spatial relation recognition in natural language text; the construction of a spatial Property Graph capturing the spatial relationships between pairs of entities; and the sketch drawing step where the identified entities are dynamically placed on a canvas in a manner that minimizes conflicts between the verbalized spatial relationships, thus providing a plausible representation of the described environment. The approach is manually demonstrated on a natural language description of a university campus, and the opportunities and challenges of the suggested framework are discussed. The paper concludes by highlighting the contributions of the framework and by providing insights for its actual implementation.
Year
DOI
Venue
2013
10.1007/978-3-319-01790-7_17
COSIT
Keywords
Field
DocType
dynamic sketching,nl place descriptions,spatial information extraction
Spatial analysis,Spatial relation,Computer science,Human–computer interaction,Artificial intelligence,Sketch,Named entity,Natural language,Parsing,Conceptual framework,Multimedia,Machine learning,Mental representation
Conference
Citations 
PageRank 
References 
16
0.79
28
Authors
4
Name
Order
Citations
PageRank
Maria Vasardani111715.67
Sabine Timpf229940.18
Stephan Winter364345.20
Martin Tomko418121.96