Learning Structure and Schemas from Documents
The rapidly growing volume of available digital documents of various formats and the possibility to access these through Internet-based technologies, have led to the necessity to develop solid methods to properly organize and structure documents in large digital libraries and repositories. Due to the extremely large volumes of documents and to their unstructured form, most of the research efforts in this direction are dedicated to automatically infer structure and schemas that can help to better organize huge collections of documents and data. This book covers the latest advances in structure inference in heterogeneous collections of document…
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Produktdetails
Weitere Autoren: Xhafa, Fatos (Hrsg.)
- ISBN: 978-3-662-50671-4
- EAN: 9783662506714
- Produktnummer: 23924726
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 441 S.
- Masse: H23.5 cm x B15.5 cm 700 g
- Auflage: Softcover reprint of the original 1st ed. 2011
- Reihenbandnummer: 375
- Gewicht: 700
2 weitere Werke von Marenglen (Hrsg.) Biba:
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