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- W2108014443 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." @default.
- W2108014443 created "2016-06-24" @default.
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- W2108014443 date "1999-06-01" @default.
- W2108014443 modified "2023-10-16" @default.
- W2108014443 title "Storing semistructured data with STORED" @default.
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- W2108014443 doi "https://doi.org/10.1145/304181.304220" @default.
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