Computer Science – Databases
Scientific paper
2002-05-23
Computer Science
Databases
26 pages, 5 figures
Scientific paper
Graph simulation (using graph schemata or data guides) has been successfully proposed as a technique for adding structure to semistructured data. Design patterns for description (such as meta-classes and homomorphisms between schema layers), which are prominent in the object-oriented programming community, constitute a generalization of this graph simulation approach. In this paper, we show description applicable to a wide range of data models that have some notion of object (-identity), and propose to turn it into a data model primitive much like, say, inheritance. We argue that such an extension fills a practical need in contemporary data management. Then, we present algebraic techniques for query optimization (using the notions of described and description queries). Finally, in the semistructured setting, we discuss the pruning of regular path queries (with nested conditions) using description meta-data. In this context, our notion of meta-data extends graph schemata and data guides by meta-level values, allowing to boost query performance and to reduce the redundancy of data.
No associations
LandOfFree
Optimizing Queries Using a Meta-level Database does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Optimizing Queries Using a Meta-level Database, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimizing Queries Using a Meta-level Database will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-454735