Function-based object model towards website adaptation
Proceedings of the 10th international conference on World Wide Web
Visual Based Content Understanding towards Web Adaptation
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
DOM-based content extraction of HTML documents
WWW '03 Proceedings of the 12th international conference on World Wide Web
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
HTML Page Analysis Based on Visual Cues
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Reverse Engineering for Web Data: From Visual to Semantic Structures
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Automatic Discovery of Semantic Structures in HTML Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Learning block importance models for web pages
Proceedings of the 13th international conference on World Wide Web
Hierarchies in HTML Documents: Linking Text to Concepts
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Visually guided bottom-up table detection and segmentation in web documents
Proceedings of the 15th international conference on World Wide Web
Table extraction using spatial reasoning on the CSS2 visual box model
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Measuring web page similarity based on textual and visual properties
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Journal of the American Society for Information Science and Technology
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A great amount of information is still being stored in loosely structured documents in several widely used formats. Due to the lack of data description in these documents, their integration to the existing information systems requires sophisticated pre-processing techniques to be developed. To the document reader, the content structure is mostly presented by visual means. Therefore, we propose a technique for the discovery of the logical document structure based on the analysis of various visual properties of the document such as the page layout or text properties. This technique is currently being tested and some promising preliminary results are available.