Abstract
Diverse location-sensing technologies must be integrated to meet the requirements of generalized location-awareness in ubiquitous computing environments. A formal and comprehensive ontology - based modelling of location makes it possible to derive and inte- grate consistent high-level location information from sparse, het- erogeneous location data. Defined this way, location information may provide a contextual common denominator for the semantic modelling of services in a service-oriented architecture.
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CITATION STYLE
Flury, T., Privat, G., & Ramparany, F. (2004). OWL-based location ontology for context-aware services. Artificial Intelligence in Mobile Systems, 1–7.
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