Using ontologies in personalized mobile applications

Abstract

Mobile devices such as personal digital assistants (PDAs) and mobile phones are in widespread use already today and converging to mobile smart phones. They enable the users to access a wide range of services and information without guiding them through their actual demands. Especially during mass events like the Olympic Games 2008 in Beijing -which was initially the context of our work -a large service space is expected to support all mobile visitors, being athletes, journalists, or spectators.Current approaches tackling such problems are location-based (i.e., location-based services), meaning that a user's location is taken into consideration for service provision, and even contextaware, meaning that beyond location other characteristics of a user's environment are taken into account. Such information obviously helps to deliver relevant information at the right time to the mobile users. Going one step further, a situation-aware system abstracts from the context dimensions by translating specific contexts into logical situations (such as being in the car, in a stadium). Even though many context frameworks have been introduced in the past few years, what is usually missing is the notion of characteristic features of contexts which are invariant during certain time intervals. We refer to such features as situations. Knowing the situation end users are in allows the system to better target the information to be delivered to them. This paper presents the main concepts developed for a platform named FLAME2008, which is able to support its mobile users with personalized situation-aware services in push and pull mode.

A Framework for Integrated Mobile Content Recommendation

“…Such profile information can be obtained from a user's input according to his or her interests or from the user's preferences, which are derived from the behavioral usage and inferred from the user's profile. This can be seen from mobile content frameworks such as those proposed by Ninget al 13 , Weißenberg et al 14 , and Jeon et al 15 .…”

Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources

“…In [16], Weiβenberg et al have developed FLAME2008, a prototype system for intelligent personalized Web services for the Olympics 2008 in Beijing. This is basically an integration platform for service customization by using the information based on individual situations and personal demands of users.…”

Client-side mobile user profile for content management using data mining techniques

“…The example real world application using user's profile is 'FLAME2008' [14]. The main concept for this work is to use ontology for creating the relationships between the user profile and context awareness based on location and time, in order to obtain the personalised service on the mobile application.…”