Name
Abstract | ||
|---|---|---|
To improve the formal integration of verbally given spatial information in a geographical information system, a methodology for converting such information to a geographical representation was developed. This was applied to examples of a spatial-related analysis of natural language text messages in the domain of disaster management. This article presents an approach for such a conversion by using a suitable knowledge representation as well as formal modelling structures. The structures are provided by an ontology-supported knowledge base. With respect to spatial uncertainty, a formal representation based on possibility theory was defined. Moreover, a cluster algorithm was developed for handling information of different sources and building a spatial context. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1080/13658816.2012.661056 | International Journal of Geographical Information Science |
Keywords | Field | DocType |
formal integration,cluster algorithm,ontology-supported knowledge base,spatial context,formal representation,spatial information,suitable knowledge representation,geographical representation,formal modelling structure,geographical information system,multi-criteria modelling,spatial relation,clustering,knowledge representation,possibility theory,geographic information system,natural language,disaster management,knowledge base | Spatial analysis,Information system,Data mining,Knowledge representation and reasoning,Computer science,Possibility theory,Natural language,Knowledge base,Spatial contextual awareness,Cluster analysis | Journal |
Volume | Issue | ISSN |
26 | 10 | 1365-8816 |
Citations | PageRank | References |
1 | 0.35 | 4 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Lucas | 1 | 1 | 1.70 |