Name
Abstract | ||
|---|---|---|
Many geographic terms, such as “river” and “lake”, are vague, with no clear boundaries of application. In particular, the spatial extent of such features is often vaguely carved out of a continuously varying observable domain. We present a means of defining vague terms using standpoint semantics, a refinement of the philosophical idea of supervaluation semantics. Such definitions can be grounded in actual data by geometric analysis and segmentation of the data set. The issues raised by this process with regard to the nature of boundaries and domains of logical quantification are discussed. We describe a prototype implementation of a system capable of segmenting attributed polygon data into geographically significant regions and evaluating queries involving vague geographic feature terms. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.3233/978-1-58603-923-3-280 | FOIS |
Keywords | Field | DocType |
actual data,vague geographic feature term,grounding vague geographic terms,clear boundary,supervaluation semantics,geographic term,polygon data,vague term,standpoint semantics,geographically significant region | Ontology,Data mining,Polygon,Vagueness,Market segmentation,Computer science,Segmentation,Geometric analysis,Ground,Semantics | Conference |
Volume | ISSN | Citations |
183 | 0922-6389 | 24 |
PageRank | References | Authors |
1.09 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brandon Bennett | 1 | 629 | 38.12 |
| David Mallenby | 2 | 31 | 2.38 |
| Allan Third | 3 | 107 | 12.38 |