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» Extracting Schema from Semistructured Data
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ICDE
1996
IEEE
120views Database» more  ICDE 1996»
14 years 10 months ago
Towards the Reverse Engineering of Denormalized Relational Databases
This paper describes a method to cope with denormalized relational schemas in a database reverse engineering process. We propose two main steps to irnprove the understanding of da...
Jean-Marc Petit, Farouk Toumani, Jean-Franç...
ACL
2009
13 years 6 months ago
Learning foci for Question Answering over Topic Maps
This paper introduces the concepts of asking point and expected answer type as variations of the question focus. They are of particular importance for QA over semistructured data,...
Alexander Mikhailian, Tiphaine Dalmas, Rani Pinchu...
ESWS
2007
Springer
14 years 3 months ago
The Lixto Systems Applications in Business Intelligence and Semantic Web
: This paper shows how technologies for Web data extraction, syndication and integration allow for new applications and services in the Business Intelligence and the Semantic Web d...
Robert Baumgartner, Oliver Frölich, Georg Got...
MKM
2009
Springer
14 years 3 months ago
From Tessellations to Table Interpretation
The extraction of the relations of nested table headers to content cells is automated with a view to constructing narrow domain ontologies of semistructured web data. A taxonomy of...
Ramana C. Jandhyala, Mukkai S. Krishnamoorthy, Geo...
ACL
2011
13 years 18 days ago
Template-Based Information Extraction without the Templates
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an ...
Nathanael Chambers, Dan Jurafsky