Storing Semistructured Data with STORED

Systems for managing and querying semistructured-data sources often store data in proprietary object repositories or in a tagged-text format. We describe a technique that can use relational database management systems to store and manage semistructured data. Our technique relies on a mapping between the semistructured data model and the relational data model, expressed in a query language called STORED. When a semistrcutured data instance is given, a STORED mapping can be generated automatically using data-mining techniques. We are interested in applying STORED to XML data, which is an instance of semistructured data. We show how a document-type-descriptor DTD, when present, can be exploited to further improve performance.

• Type: Conference
• Year: 1999
• Where: SIGMOD
• Authors: Alin Deutsch, Mary F. Fernández, Dan Suciu
• Keywords: Data Model, Database, Relational Data Model, Relational Database Management Systems, SIGMOD 1999