Using latent semantic analysis to improve access to textual information
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The weighted majority algorithm
Information and Computation
Community-based service location
Communications of the ACM
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Case-Based Reasoning: Concepts, Features and Soft Computing
Applied Intelligence
Representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies
Expert Systems with Applications: An International Journal
Adapting domain ontology for personalized knowledge search and recommendation
Information and Management
Hi-index | 12.06 |
Group conflict that occurs when delivering context-aware services negatively affects service usage within a specific service space, and researchers have proposed few conflict resolution methods to address the issue. This paper presents a methodology to autonomously resolve the conflict arising between users in identical contexts, such as place and computing resources. To do so, a two-phase case-based reasoning method is proposed. To minimize privacy concerns, a social network model is applied to produce key social context data, secondary to personal data, and which is used in place of the users' personal data for case-based reasoning. To show the feasibility of the idea proposed in this paper, a prototype system with simulation-based validation is tested to determine conflict resolution strategies and a simulation test has been performed.