An automated approach for retrieving hierarchical data from HTML tables
Proceedings of the eighth international conference on Information and knowledge management
Towards domain-independent information extraction from web tables
Proceedings of the 16th international conference on World Wide Web
Making database systems usable
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Browsing large HTML tables on small screens
Proceedings of the 21st annual ACM symposium on User interface software and technology
Data integration for the relational web
Proceedings of the VLDB Endowment
Web-scale knowledge extraction from semi-structured tables
Proceedings of the 19th international conference on World wide web
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Government agencies and other organizations often have a huge quantity of data in need of digitization. In some cases, the data are represented on paper as tables with multilevel headers. Storing this data into relational tables probably necessitates a complex redesign of the data, through renaming of columns and/or normalization of the tables. To save this step, an XML data model can be used easily and naturally, but typical non-technical users still prefer to visualize data in the form of tables. We show in this paper how to transform and display XML data as HTML tables with multilevel headers, to preserve the original easy-to-read format while having a well defined schema, and describe how it can be used in concrete applications, focusing on a military logistics database.