Using annotations to support multiple kinds of versioning in an object-oriented database system
ACM Transactions on Database Systems (TODS)
Evaluation of relational algebras incorporating the time dimension in databases
ACM Computing Surveys (CSUR)
Semantics of time-varying information
Information Systems
Developing time-oriented database applications in SQL
Developing time-oriented database applications in SQL
ACM Transactions on Database Systems (TODS)
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Temporal and Real-Time Databases: A Survey
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Database Versions to Represent Bitemporal Databases
DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
Adding Time to an Object-Oriented Versions Model
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
TVQL - Temporal Versioned Query Language
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Sequenced Subset Operators: Definition and Implementation
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Encyclopedia of Database Systems
Encyclopedia of Database Systems
Fundamentals of Database Systems
Fundamentals of Database Systems
A modular approach for representing and executing clinical guidelines
Artificial Intelligence in Medicine
Methodological Review: Computer-interpretable clinical guidelines: A methodological review
Journal of Biomedical Informatics
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The process of keeping up-to-date the medical knowledge stored in relational databases is of paramount importance. Since quality and reliability of medical knowledge are essential, in many cases physicians' proposals of updates must undergo experts' evaluation before possibly becoming effective. However, until now no theoretical framework has been provided in order to cope with this phenomenon in a principled and non-ad hoc way. Indeed, such a framework is important not only in the medical domain, but in all Wikipedia-like contexts in which evaluation of update proposals is required. In this paper we propose GPVM (General Proposal Vetting Model), a general model to cope with update proposal@?evaluation in relational databases. GPVM extends the current theory of temporal relational databases and, in particular, BCDM - Bitemporal Conceptual Data Model - ''consensus'' model, providing a new data model, new operations to propose and accept@?reject updates, and new algebraic operators to query proposals. The properties of GPVM are also studied. In particular, GPVM is a consistent extension of BCDM and it is reducible to it. These properties ensure consistency with most relational temporal database frameworks, facilitating implementation on top of current frameworks and interoperability with previous approaches.