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Erschienen in:
2009 | OriginalPaper | Buchkapitel
An Ontology-Based Spatial Clustering Selection System
verfasst von : Wei Gu, Xin Wang, Danielle Ziébelin
Erschienen in: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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Spatial clustering, which groups similar spatial objects into classes, is an important research topic in spatial data mining. Many spatial clustering methods have been developed recently. However, many users do not know how to choose the most suitable spatial clustering method to implement their own projects due to lack of expertise in the area. In order to reduce the difficulties of choosing, linking and executing appropriate programs, we build a spatial clustering ontology to formalize a set of concepts and relationships in the spatial clustering domain. Based on the spatial clustering ontology, we implement an ontology-based spatial clustering selection system (OSCS) to guide users selecting an appropriate spatial clustering algorithm. The system consists of the following parts: a spatial clustering ontology, an ontology reasoner using a task-model, a web server and a user interface. Preliminary experiments have been conducted to demonstrate the efficiency and practicality of the system.