Abstract
Environmental databases store a wide variety of data from heterogeneous sources which are described with domain-specific terminologies and refer to distinct locations. In order to make them accessible also to non-expert users, terminological concepts and spatial relations must be represented in a way that they can be exploited for searches. In this paper we propose a hybrid knowledge representation system architecture which integrates terminological and spatial aspects of the application domain and provides support for reasoning with RCC, a well-known calculus for spatial reasoning, and the Semantic Web’s ontology language OWL. Our approach is motivated by the observation that RCC cannot be expressed in OWL without a major revision of the latter. Issues of upholding consistency of the knowledge base in view of an evolving ontology and of computational complexity are discussed.

URL:
http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2007-061

BibTeX:

@article{REWERSE-RP-2007-061,
	author = {Rolf Gr\"utter and Bettina Bauer-Messmer},
	title = {Towards Spatial Reasoning in the Semantic Web: A Hybrid Knowledge Representation System Architecture},
	journal = {},
	year = {2007},
	pages = {349--364},
	url = {http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2007-061}
}