@inproceedings{4291d8a224614bf9b20e4407acb1b67e,
title = "Auto-completion learning for XML",
abstract = "Editing an XML document manually is a complicated task. While many XML editors exist in the market, we argue that some important functionalities are missing in all of them. Our goal is to makes the editing task simpler and faster. We present ALEX (Auto-completion Learning Editor for XML), an editor that assists the users by providing intelligent auto-completion suggestions. These suggestions are adapted to the user needs, simply by feeding ALEX with a set of example XML documents to learn from. The suggestions are also guaranteed to be compliant with a given XML schema, possibly including integrity constraints. To fulfill this challenging goal, we rely on novel, theoretical foundations by us and others, which are combined here in a system for the first time.",
keywords = "auto-completion, editor, learning, schema, xml",
author = "Serge Abiteboul and Yael Amsterdamer and Tova Milo and Pierre Senellart",
year = "2012",
doi = "https://doi.org/10.1145/2213836.2213928",
language = "الإنجليزيّة",
isbn = "9781450312479",
series = "Proceedings of the ACM SIGMOD International Conference on Management of Data",
pages = "669--672",
booktitle = "SIGMOD '12 - Proceedings of the International Conference on Management of Data",
note = "2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12 ; Conference date: 21-05-2012 Through 24-05-2012",
}