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In an active rule-based system, users define reactions to events by specifying active rules. The system executes rules upon occurrences of events automatically. Events can be primitive that is raised by a single database operation, such as insert, delete, and replace. Users can also define composite events that are grouped by multiple primitive events. The composition of those events can trigger one...
Fuzzy logic reflects human nature to express and evaluate the world in a vague manner. This paper describes our approach to incorporate fuzzy logic into XML database systems. The system was built on top of traditional XML databases, while allows the storage of fuzzy data as well as crisp data. The paper describes the structure of the system, starting with the critical architectural component named...
Active database rules provide event management capability to database systems by signaling events and handling events automatically. Active rules play important roles in data management such as database integrity checking and database integration. Our past research has reported an active rule scheduling algorithm, named IRS, to schedule the execution of concurrently triggered rules to achieve the...
Triggers have played an important role in integrity constraint management for relational database systems. More research projects and commercial systems are working on supporting triggers in XML database systems in recent years. This paper describes our approach to incorporate fuzziness into XML triggers. By adding a thin layer to an existing database, fuzzy expressions can be used within triggers...
Database triggers allow database users to specify integrity constraints and business logics by describing the reactions to events. Traditional database triggers can handle mutating events such as insert, update, and delete. This paper describes our approach to incorporate timer-triggers to handle temporal events that are generated at a given time or at certain time intervals. We propose a trigger...
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