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- W2067589295 abstract "Semi-structured data are characterized by the lack of a predefined schema. This heterogeneity simplifies the management of such data, but analysis and queries become more difficult and demand for schemata that describe these data. Super-imposed structures cannot be as general as predefined ones, but ease the retrieval of the information embedded in such data. The paper adopts XML as the language to render semi-structured data and proposes an approach - based on graph transformation techniques - to infer the schemata of XML documents." @default.
- W2067589295 created "2016-06-24" @default.
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- W2067589295 date "2005-01-01" @default.
- W2067589295 modified "2023-10-14" @default.
- W2067589295 title "Graph transformation to infer schemata from XML documents" @default.
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- W2067589295 doi "https://doi.org/10.1145/1066677.1066824" @default.
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