Scientific discovery: computational explorations of the creative process
Scientific discovery: computational explorations of the creative process
Decidability and undecidability results for the termination problem of active database rules
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
On logical foundations of active databases
Logics for databases and information systems
ACM Computing Surveys (CSUR)
Temporal relevant logic as the logical basis of autonomous evolutionary information systems
Proceedings of the 2000 information resources management association international conference on Challenges of information technology management in the 21st century
Active Rules in Database Systems
Active Rules in Database Systems
Composite Temporal Events in Active Database Rules: A Logic-Oriented Approach
DOOD '95 Proceedings of the Fourth International Conference on Deductive and Object-Oriented Databases
The Theory Grid and Grid Theorists
SKG '06 Proceedings of the Second International Conference on Semantics, Knowledge, and Grid
Proceedings of the 2006 conference on Information Modelling and Knowledge Bases XVII
Autonomous and continuous evolution of information systems
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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Both active database systems and autonomous evolutionary information systems are motivated by improving the passive characteristic of traditional database and/or knowledge-base systems; but they were independently developed until now. To investigate the difference between active database systems and autonomous evolutionary information systems and to find some complementary development methodologies for the both, this paper presents a comparative study of active database systems and autonomous evolutionary information systems. We comparatively discuss motivations, purposes, capabilities, logical foundations of active database systems and autonomous evolutionary information systems. We show that some facilities and their implementation techniques independently developed in active database systems and autonomous evolutionary information systems separately can be complementarily used each other and this will certainly result in progress of the both.