Storing semistructured data with STORED Export

@inproceedings{citeulike:4186988, 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.}, address = {New York, NY, USA}, author = {Deutsch, Alin and Fernandez, Mary and Suciu, Dan}, booktitle = {SIGMOD '99: Proceedings of the 1999 ACM SIGMOD international conference on Management of data}, citeulike-article-id = {4186988}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=304220}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/304182.304220}, doi = {10.1145/304182.304220}, isbn = {1-58113-084-8}, keywords = {4ref, semistructured}, location = {Philadelphia, Pennsylvania, United States}, pages = {431--442}, posted-at = {2009-03-17 16:57:37}, priority = {2}, publisher = {ACM}, title = {Storing semistructured data with STORED}, url = {http://dx.doi.org/10.1145/304182.304220}, year = {1999} }

TY - CONF ID - citeulike:4186988 L3 - citeulike-article-id:4186988 N2 - 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. CY - Philadelphia, Pennsylvania, United States SN - 1-58113-084-8 AD - New York, NY, USA EP - 442 TI - Storing semistructured data with STORED PB - ACM T2 - SIGMOD '99: Proceedings of the 1999 ACM SIGMOD international conference on Management of data SP - 431 KW - 4ref KW - semistructured AU - Deutsch, Alin AU - Fernandez, Mary AU - Suciu, Dan PY - 1999/// UR - http://dx.doi.org/10.1145/304182.304220 ER -