An ontology for spatial relevant objects in a location-aware system: Case study: A tourist guide system

Samani, N, Delavar, M, Chrisman, N and Malek, M 2012, 'An ontology for spatial relevant objects in a location-aware system: Case study: A tourist guide system', World Academy of Science, Engineering and Technology, vol. 63, pp. 878-884.


Document type: Journal Article
Collection: Journal Articles

Title An ontology for spatial relevant objects in a location-aware system: Case study: A tourist guide system
Author(s) Samani, N
Delavar, M
Chrisman, N
Malek, M
Year 2012
Journal name World Academy of Science, Engineering and Technology
Volume number 63
Start page 878
End page 884
Total pages 7
Publisher World Academy of Science, Engineering and Technology (WASET)
Abstract Location-aware computing is a type of pervasive computing that utilizes user's location as a dominant factor for providing urban services and application-related usages. One of the important urban services is navigation instruction for wayfinders in a city especially when the user is a tourist. The services which are presented to the tourists should provide adapted location aware instructions. In order to achieve this goal, the main challenge is to find spatial relevant objects and location-dependent information. The aim of this paper is the development of a reusable location-aware model to handle spatial relevancy parameters in urban location-aware systems. In this way we utilized ontology as an approach which could manage spatial relevancy by defining a generic model. Our contribution is the introduction of an ontological model based on the directed interval algebra principles. Indeed, it is assumed that the basic elements of our ontology are the spatial intervals for the user and his/her related contexts. The relationships between them would model the spatial relevancy parameters. The implementation language for the model is OWLs, a web ontology language. The achieved results show that our proposed location-aware model and the application adaptation strategies provide appropriate services for the user.
Subject Geospatial Information Systems
Keyword(s) Spatial relevancy
context-aware
ontology
modeling
Copyright notice © 2012 World Academy of Science, Engineering and Technology
ISSN 2010-376X
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