Skip to main content

Research Repository

Advanced Search

All Outputs (3)

Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources (2017)
Journal Article
Uddin, I., Rakib, A., Haque, H. M. U., & Vinh, P. C. (2018). Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources. Mobile Networks and Applications, 23(1), 13-26. https://doi.org/10.1007/s11036-017-0899-5

© 2017, The Author(s). This paper presents a conceptual framework and multi-agent model for context-aware decision support in dynamic smart environments based on heterogeneous knowledge sources. A Protégé plug-in for rules extraction from distributed... Read More about Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources.

A framework for implementing formally verified resource-bounded smart space systems (2017)
Journal Article
Uddin, I., Rakib, A., & Haque, H. M. U. (2017). A framework for implementing formally verified resource-bounded smart space systems. Mobile Networks and Applications, 22(2), 289-304. https://doi.org/10.1007/s11036-017-0808-y

© 2017, Springer Science+Business Media New York. Context-aware computing is a mobile computing paradigm that helps designing and implementing next generation smart applications, where personalized devices interact with users in smart environments. D... Read More about A framework for implementing formally verified resource-bounded smart space systems.

Modelling and reasoning about context-aware agents over heterogeneous knowledge sources (2017)
Journal Article
Ul Haque, H. M., Rakib, A., & Uddin, I. (2017). Modelling and reasoning about context-aware agents over heterogeneous knowledge sources. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 193, 1-11. https://doi.org/10.1007/978-3-319-56357-2_1

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017. This paper presents a conceptual framework and multi-agent model for context-aware decision support in dynamic smart environments based on heterogeneo... Read More about Modelling and reasoning about context-aware agents over heterogeneous knowledge sources.