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Jiang, L., Wang, J., An, N., Wang, S., Zhan, J. and Li, L. (2009) GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web Search. Proceedings of IEEE International Conference on Data Mining, Miami, 6-9 December 2009, 199-208.
http://dx.doi.org/10.1109/icdm.2009.25

has been cited by the following article:

• TITLE: Supporting Information Extraction from Visual Documents

  AUTHORS: Giuseppe Della Penna, Sergio Orefice

  KEYWORDS: Information Extraction, Spatial Relations, Visual Appearance

  JOURNAL NAME: Journal of Computer and Communications, Vol.4 No.6, May 30, 2016

  ABSTRACT: Visual Information Extraction (VIE) is a technique that enables users to perform information extraction from visual documents driven by the visual appearance and the spatial relations occurring among the elements in the document. In particular, the extractions are expressed through a query language similar to the well known SQL. To further reduce the human effort in the extraction task, in this paper we present a fully formalized assistance mechanism that helps users in the interactive formulation of the queries.