Abstract
Location-based applications require a well-formed representation of spatial knowledge. Current location models can be classified into symbolic or geometric models. The former attempts to represent logical entities and their semantics, but requires a large amount of manual effort for describing them. On the other hand, the latter represents the geometric coordinates but not the semantics. In this paper, we present a semantic location model which preserves topology and distance semantics to support location navigation but at the same time facilitates programmatic model construction and maintenance. The model is based on a sound location theory. It is mainly composed of two hierarchies: a location hierarchy and an exit hierarchy, which can be derived from spatial maps, such as floor plans, without manual intervention. Through a series of model construction algorithms and a real example, we show that our model is simple but powerful enough to capture spatial connectivity and hierarchical relationship to support location-based applications. Furthermore, the location and exit hierarchies are easy to understand by human users.
Original language | English |
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Title of host publication | Proceedings - 2004 IEEE International Conference on Mobile Data Management (MDM 2004) |
Pages | 52-61 |
Number of pages | 10 |
Publication status | Published - 24 May 2004 |
Externally published | Yes |
Event | Proceedings - 2004 IEEE International Conference on Mobile Data Management, MDM 2004 - Berkeley, CA., United States Duration: 19 Jan 2004 → 22 Jan 2004 |
Conference
Conference | Proceedings - 2004 IEEE International Conference on Mobile Data Management, MDM 2004 |
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Country/Territory | United States |
City | Berkeley, CA. |
Period | 19/01/04 → 22/01/04 |
ASJC Scopus subject areas
- General Engineering