Auto-completion learning for XML

Serge Abiteboul, Yael Amsterdamer, Tova Milo, Pierre Senellart

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

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.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفSIGMOD '12 - Proceedings of the International Conference on Management of Data
الصفحات669-672
عدد الصفحات4
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2012
الحدث2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12 - Scottsdale, AZ, الولايات المتّحدة
المدة: ٢١ مايو ٢٠١٢٢٤ مايو ٢٠١٢

سلسلة المنشورات

الاسمProceedings of the ACM SIGMOD International Conference on Management of Data

!!Conference

!!Conference2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12
الدولة/الإقليمالولايات المتّحدة
المدينةScottsdale, AZ
المدة٢١/٠٥/١٢٢٤/٠٥/١٢

All Science Journal Classification (ASJC) codes

  • !!Software
  • !!Information Systems

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