Ontology and Reasoning for Context-Aware Visitor Assistance
Date Issued
2008
Date
2008
Author(s)
Yuhana, Umi Laili
Abstract
In many public facilities and tourist destinations, visitor assistance provides useful information to all visitors. While much information is generic and static, a human assistant can offer more personalized assistance by reasoning about the visitor’s location, interests and preferences. For example, a new student visiting a university campus may need information on finding the professors with matching research interests at their available times, which may be derived by reasoning about the current contexts.his research explores the knowledge representation and reasoning process required to provide context-aware assistance to the visitors. In this thesis, we have developed the OWL ontology for time, indoor location and event context, as well as for routes, personal profiles and research topics. We have constructed 26 rules in SWRL to infer context-aware visitor assistance. A sample experiment has been conducted to demonstrate our context-aware reasoning process. The proposed approach can be used to find the visitor location, destination, unavailable passage, available professors and suitable location or person based on the visitor’s research interests.
Subjects
ontology
reasoning
context aware
visitor assistance
Type
thesis
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