Conference Paper

A Context-aware System Architecture using Personal Information based on Ontology

PuKyong Nat'l University, Korea;
DOI: 10.1109/SERA.2007.9 Conference: Software Engineering Research, Management & Applications, 2007. SERA 2007. 5th ACIS International Conference on
Source: IEEE Xplore

ABSTRACT Context-aware applications can satisfy users' information needs without consuming too much time in discovering information adaptive to users. In this paper, we propose a personalized information system to provide more user-oriented information considering context information such as a personal profile with preferences, location, traffic condition, weather, time, event, and so on. Our system architecture is designed to support an effective execution usage on Web services and client applications. We implement a map viewer using a shape type of map format files with Points of Interest(PoI) information. Also, our system can provide associated search results from relations between the objects using context ontologies modeling created by the categorized layers of geospatial data.

0 Bookmarks
 · 
59 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, the idea of providing personalized, location-based information services via rule-based policies is demonstrated. After a short introduction about related technologies and approaches, an innovative Personalized Location Information System (PLIS) is designed and implemented. PLIS delivers personalized and contextualized information to users according to rule-based policies. More specifically, many categories of points of interest (e.g. shops, restaurants) have rule-based policies to expose and deploy their marketing strategy on special offers, discounts, etc. PLIS evaluates these rules on-the-fly and delivers personalized information according to the user's context and the corresponding rules fired within this context. After discussing the design and the implementation of PLIS, illustrative examples of PLIS functionality are presented. As a result, PLIS proves that combining contextual data and rules can lead to powerful personalized information services.
    Proceedings of the 6th international conference on Rules on the Web: research and applications; 08/2012