Storing semistructured data with STORED

  • Authors:
  • Alin Deutsch;Mary Fernandez;Dan Suciu

  • Affiliations:
  • Univ. of Pennsylvania;AT&T Labs;AT&T Labs

  • Venue:
  • SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
  • Year:
  • 1999

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Abstract

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 semistructured 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.