Title :
Ontology-based context-aware model by applying Bayesian network
Author :
Jinhyuk Mok;Hongki Min
Author_Institution :
Dept. of Information and Telecomm. Eng., Incheon National University, Korea
Abstract :
By the rapid advancement of wireless network, study of context-awareness computing is actively proceeding for better setting up a ubiquitous computing environment. Context modelling is mostly popular technique among context-awareness service. In various method of context modelling, Ontology is most popular modelling. However, Ontology based system have disadvantage that the relation expression between objects can be complex. In this paper, we propose the ontology-based context aware model by using the Bayesian network based reasoning method and constructing service model to improve the problems. This model is applied for the scenario of smart campus situation. As a result, it was possible for reasoning uncertain situation and flexible reasoning to various situations.
Keywords :
"Context","Ontologies","Context modeling","Bayes methods","Cognition","Temperature control","Computational modeling"
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
DOI :
10.1109/FSKD.2015.7382377