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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/3202
Title: A lattice-based semantic location model for indoor navigation
Authors: Li, Dandan
Lee, Dik Lun
Keywords: Entity-relationship modelling
Knowledge representation
Mobile computing
Issue Date: 2008
Citation: Proceedings 9th International Conference on Mobile Data Management 2008. MDM '08. Beijing, China, 27-30 April 2008, p. 17-24
Abstract: Location models play an important role in location- based services (LBSs), because LBSs require a well-defined representation of location knowledge to support location browsing, navigation and query processing. Current location models can be divided into two categories: symbolic and geometric. Symbolic models try to represent the semantic relationships between entities, and geometric models are based on geometric coordinates and Euclidean distance. In this paper, we propose a lattice-based semantic location model (LSLM) for the indoor environment. LSLM is based on the exit-location model and the theory of 'formal concept analysis.' The model can provide an explicit representation of the basic relationships between two entities such as containment and overlap. The nearest neighbor relationship on the concept lattice is used to define the optimal distance between two entities. Furthermore, the dual (location/exit) property of the model can cater for different navigation needs. We provide examples to show the effectiveness of our model.
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URI: http://hdl.handle.net/1783.1/3202
Appears in Collections:CSE Conference Papers

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