WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/9529,
	  title     = {An Ontology for Spatial Relevant Objects in a Location-aware System: Case Study: A Tourist Guide System},
	  author    = {N. Neysani Samany and  M.R. Delavar and  N. Chrisman and  M.R. Malek},
	  country	= {},
	  institution	= {},
	  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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {6},
	  number    = {3},
	  year      = {2012},
	  pages     = {403 - 409},
	  ee        = {https://publications.waset.org/pdf/9529},
	  url   	= {https://publications.waset.org/vol/63},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 63, 2012},
	}