Extending an ontology-based search with a formalism for spatial reasoning

Abstract

With the objective of extending an existing ontology-based search with a formalism for spatial reasoning two approaches to a representation of the Region Connection Calculus (RCC) in OWL DL are explored. The exploration results in a representation which is minimal yet still allows inferring the relations between all connecting regions in any of the different RCC species using a sound and complete calculus. The theoretical results are demonstrated in a sample application. The scale of the representation in the sample application is discussed. While the successful approach can be applied to small applications, we conclude that further research is required before applying it to large applications.

Razonamiento espacial para determinar el dominio de un conjunto de etiquetas que representan objetos geográficos

“…Tanto las restricciones y las reglas están basadas en una representación uniforme de la topología de los objetos, el espacio que lo rodea y la representación de las relaciones entre los objetos. Un trabajo similar es el propuesto por Grutter [24], el cual propone un conjunto de reglas y restricciones a partir del modelo RCC8. Asimismo, Wang [25] propone nuevos modelos de relaciones espaciales que agrupan a las relaciones principales (dirección, topología, distancia y forma), con la finalidad de implementar una aplicación que permita recuperar esta información en una base de datos.…”

End-User Assisted Ontology Evolution in Uncertain Domains

“…An open search was realized by an expansion scheme [14] and the reasoning is based on DL. Further research is performed with the objective to extend the knowledge base by a so-called RCCBox representing composition tables for spatial inference based on the Region Connection Calculus (RCC) [15,16]. In late 2008, a first prototype shall be released for a test cycle of selected expert users at the Swiss Federal Office for the Enviroment.…”

Improving an RCC-Derived Geospatial Approximation by OWL Axioms

“…It builds on an approach published in [5]. The idea is to calculate or approximate geospatial settings based on attributes which can easily be queried from spatial databases such that the process can be automated.…”