A Context-aware System Architecture using Personal Information based on Ontology
SERA '07 Proceedings of the 5th ACIS International Conference on Software Engineering Research, Management & Applications
Utilizing Physical and Social Context to Improve Recommender Systems
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
A Rule-Based Approach Towards Context-Aware User Notification Services
PERSER '06 Proceedings of the 2006 ACS/IEEE International Conference on Pervasive Services
OpenRuleBench: an analysis of the performance of rule engines
Proceedings of the 18th international conference on World wide web
Challenges for Rule Systems on the Web
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
A Framework for Decentralized, Context-Aware Mobile Applications Using Semantic Web Technology
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Semantic rules for context-aware geographical information retrieval
EuroSSC'09 Proceedings of the 4th European conference on Smart sensing and context
Applying semantic web technology in a mobile setting: the person matcher
ICWE'10 Proceedings of the 10th international conference on Web engineering
Personalized location-based services
Proceedings of the 2011 iConference
Personalizing Mobile Web Search for Location Sensitive Queries
MDM '11 Proceedings of the 2011 IEEE 12th International Conference on Mobile Data Management - Volume 01
Context-Aware User's Interests for Personalizing Mobile Search
MDM '11 Proceedings of the 2011 IEEE 12th International Conference on Mobile Data Management - Volume 01
Semantics in Location-Based Services
IEEE Internet Computing
Data semantics in location-based services
Journal on Data Semantics III
Hi-index | 0.00 |
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.