Context-Aware Fuzzy Databases |
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| Affiliation: | 1. Department of Computation and I.T., Simón Bolívar University, 1080A Caracas, Venezuela;2. CAMYTD, FACYT, University of Carabobo, Venezuela;3. Intelligent Databases and Information Systems Research Group, Department of Computer Science and A.I., University of Granada, 18071 Granada, Spain;1. School of Mathematical Sciences, Anhui University, Hefei, Anhui 230601, China;2. Signal and Image Processing Institute, Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90007, USA;1. Department of Instrumentation & Control, SVIT, Vasad, Gujarat, India;2. Department of Instrumentation & Control, Nirma University, Ahmedabad, Gujarat, India;1. Department of Applied Physics, University of Calcutta, Kolkata, India;2. Department of Electrical Engineering, Jadavpur University, Kolkata 700032, India;1. State Key Lab of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;2. Department of Systems Engineering & Engineering Management, City University of Hong Kong, Hong Kong, China;3. State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha, Hunan, China;4. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China |
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| Abstract: | The development of mechanisms to ease human machine interaction is an issue about which there is increasing interest within both the software world in general, and database systems in particular. A way to tackle this problem is to try to approach the natural way of user expression. The Fuzzy Sets Theory and its application to build Fuzzy Databases constitute a consolidated advance in the literature. Another way is to adapt the interaction of the system to the context where it is running. In this sense, this paper presents an approach to build a model of Fuzzy Databases that dynamically adapts to user context. In order to do this, we have studied the management of the context in Fuzzy Database applications and we propose an architecture for the development of intelligent, flexible and customized context-aware database systems. We also present a proof of concept implementation to be used with SQL:99 standard in Oracle ORDBMS. Finally, through a real application in the medical area, we demonstrate the feasibility of the proposal. |
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| Keywords: | Context-aware applications Intelligent database systems Fuzzy databases Object relational DBMS |
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