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Storing Semistructured Data with STORED (1999)
| Content Provider | CiteSeerX |
|---|---|
| Author | Fernandez, Mary Suciu, Dan Deutsch, Alin |
| Abstract | this paper, we describe a technique for using relational databases to store and manage semistructured data. Our purpose is to use high-performance RDBM systems to store, query, and manage semistructured data. At the core of our approach is STORED (Semistructured TO Relational Data), a declarative query language that specifies the mapping between the semistructured-data model and the relational model. This mapping exploits any patterns that exist in a given semistructured-data source to efficiently store the data in a relational format. The mapping is always lossless: parts of the semistructured data that do not fit into the relational schema are stored in an "overflow" graph. We expect this technique to be used |
| File Format | |
| Publisher Date | 1999-01-01 |
| Access Restriction | Open |
| Subject Keyword | Semistructured-data Model Semistructured Data Relational Schema Overflow Graph Semistructured Relational Data Relational Database High-performance Rdbm System Relational Model Relational Format Semistructured-data Source Declarative Query Language |
| Content Type | Text |