Tamir Hassan
Robert Baumgartner
ABSTRACT
Wrapping is the process of navigating a data source, semi-automatically extracting data and transforming it into a form suitable for data processing applications. There are currently a number of established products on the market for wrapping data from web pages. One such approach is Lixto [1], a product of research performed at our institute.Our work is concerned with extending the wrapping functionality of Lixto to PDF documents. As the PDF format is relatively unstructured, this is a challenging task. We have developed a method to segment the page into blocks, which are represented as nodes in a relational graph. This paper describes our current research in the use of relational matching techniques on this graph to locate wrapping instances.
- R. Baumgartner, S. Flesca, and G. Gottlob. Visual web information extraction with lixto. In The VLDB Journal, pages 119--128, 2001. Google Scholar
Digital Library
- W. J. Christmas, J. Kittler, and M. Petrou. Structural matching in computer vision using probabilistic relaxation. IEEE Tran. on Pattern Anal. and Mach. Intel., 17(8):749--764, Aug. 1995. Google ScholarDigital Library
- J. Llados, E. Marti, and J. J. Villanueva. Symbol recognition by error-tolerant subgraph matching between region adjacency graphs. IEEE Tran. on Pattern Anal. and Mach. Intel., 23(10):1137--1143, Oct. 2001. Google ScholarDigital Library
Index Terms
- Using graph matching techniques to wrap data from PDF documents
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