Extracting schema from semistructured data
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
DTD inference for views of XML data
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
XTRACT: Learning Document Type Descriptors from XML Document Collections
Data Mining and Knowledge Discovery
Optimizing Regular Path Expressions Using Graph Schemas
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
ICDT '97 Proceedings of the 6th International Conference on Database Theory
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
RoadRunner: Towards Automatic Data Extraction from Large Web Sites
Proceedings of the 27th International Conference on Very Large Data Bases
WWW '03 Proceedings of the 12th international conference on World Wide Web
A Graphical Environment to Query XML Data with XQuery
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
A graph-based approach to transform XML documents
FASE'06 Proceedings of the 9th international conference on Fundamental Approaches to Software Engineering
| Hi-index | 0.00 |
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.