Document Type

Theses, Masters

Rights

This item is available under a Creative Commons License for non-commercial use only

Rights

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Disciplines

1.2 COMPUTER AND INFORMATION SCIENCE

Publication Details

Successfully submitted for the award of Master of Philosophy (M.Phil.) to the Dublin Institute of Technology, 2004.

Abstract

With the steady and fast advancements in the integration of geographic information systems and mobile location-based services, interest in exploiting this technology for Cultural Heritage (CH) data sharing has become apparent. In this area there has been an increasing need to integrate positional information with non-positional data and add a spatial dimension to the definition of a users “context” In this research the integration of Cultural Heritage information coupled with spatial technologies is investigated. The idea is based on a 3-tier architecture that positions the user at the client layer with a mobile device, a spatial query processor in the middle layer and a Cultural Heritage dataset layer. This novel idea applied in this context is the basis for this study. The research aims to develop a framework that enables the simulation of a mobile environment in which spatial applications can be implemented and evaluated without the current restriction of mobile bandwidth in the context of availability and operational costs. The prototype system is demonstrated using a spatial application that processes user-based directional queries. The application gathers information about the position and orientation/direction of the user in a 3D environment. These parameters are evaluated along with the users profile and preferences and a user-based query is formulated. The query is processed using an Oracle spatial engine and the user-tailored results are delivered to the mobile device. Finally, an experimental implementation shows how the query processor performs within a VRML model of Dublin linked to a spatially enabled CH dataset.

DOI

10.21427/D7NP68

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