Inference of concise DTDs from XML data
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Extracting knowledge in the internet age
Proceedings of the 44th annual Southeast regional conference
Inferring XML schema definitions from XML data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Learning deterministic regular expressions for the inference of schemas from XML data
Proceedings of the 17th international conference on World Wide Web
Inference of concise regular expressions and DTDs
ACM Transactions on Database Systems (TODS)
Fixing weakly annotated web data using relational models
ICWE'07 Proceedings of the 7th international conference on Web engineering
Learning Deterministic Regular Expressions for the Inference of Schemas from XML Data
ACM Transactions on the Web (TWEB)
Minimal tree language extensions: a keystone of XML type compatibility and evolution
ICTAC'10 Proceedings of the 7th International colloquium conference on Theoretical aspects of computing
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I vividly remember during my first college class my fascination with the relational database—an information oasis that guaranteed a constant flow of correct, complete, and consistent information at our disposal. In that class I learned how to build a schema for my information, and I learned that to obtain an accurate schema there must be a priori knowledge of the structure and properties of the information to be modeled. I also learned the ER (entity-relationship) model as a basic tool for all further data modeling, as well as the need for an a priori agreement on both the general structure of the information and the vocabularies used by all communities producing, processing, or consuming this information.