In this paper, we present a case study for measuring inter-annotator agreement on a linguistic ontology for spatial language, namely the spatial extension of the Generalized Upper...
Fuzzy ARTMAP (FAM) is one of the best neural network architectures in solving classification problems. One of the limitations of Fuzzy ARTMAP that has been extensively reported in...
Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S....
This paper describes an extension to the constraint satisfaction problem (CSP) approach called MUSE CSP (Multiply SEgmented Constraint Satisfaction Problem). This extension is esp...
Using traditional semantic data modeling, multi-level modeling can be achieved by representing objects in different abstraction hierarchies, namely classification, aggregation and...
Metadata is needed to facilitate data sharing among geospatial information communities. Geographic Metadata Standards are available but tend to be general and complex in nature an...