Personalised spatial knowledge management for pictures using ontologies and semantic maps
by Stavros Christodoulakis, Michalis Foukarakis, Lemonia Ragia
International Journal of Digital Culture and Electronic Tourism (IJDCET), Vol. 1, No. 4, 2009

Abstract: Cameras can provide integrated GPS and compass technology which makes them a powerful sensor for geographical context related images. They allow wireless connection to computers and the images can be automatically transferred to a PC or can be integrated into a GIS system. In this paper, we present an approach for personalised spatial information retrieval and visualisation for picture databases using ontologies and semantic maps. Ontologies are used in our case to describe domain knowledge in relation to spatial coordinates, to enhance image annotation, search capability and information visualisation. Individuals from the ontologies are represented by their footprint in semantic maps. Personalised semantic maps are constructed selecting ontologies, concept types or individuals that reflect the interests of the user. We describe a developed prototype system with a database design for ontologies and semantic maps. We demonstrate the automatic image annotation and the visualisation of the spatial queries. An application of the system targets the area of culture and tourism and provides a user friendly interface.

Online publication date: Tue, 19-May-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Digital Culture and Electronic Tourism (IJDCET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com