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Outputs (4)

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 preference-based application framework for resource-bounded context-aware agents (2017)
Book Chapter
Uddin, I., & Rakib, A. (2017). A preference-based application framework for resource-bounded context-aware agents. In K. J. Kim, & N. Joukov (Eds.), Mobile and Wireless Technologies 2017 (187-196). Springer

Context-awareness is an essential component of mobile and pervasive computing. It refers to the concept that an application understands its context, reason about its current situation, and provide relevant information and/or services to the users. On... Read More about A preference-based application framework for resource-bounded context-aware agents.

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.