Qualitative Spatial Representation and Reasoning Techniques
KI '97 Proceedings of the 21st Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Hearsay: enabling audio browsing on hypertext content
Proceedings of the 13th international conference on World Wide Web
Visually guided bottom-up table detection and segmentation in web documents
Proceedings of the 15th international conference on World Wide Web
Clustering and searching WWW images using link and page layout analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Towards domain-independent information extraction from web tables
Proceedings of the 16th international conference on World Wide Web
The HearSay non-visual web browser
W4A '07 Proceedings of the 2007 international cross-disciplinary conference on Web accessibility (W4A)
Towards one world web with HearSay3
W4A '08 Proceedings of the 2008 international cross-disciplinary conference on Web accessibility (W4A)
A unified ontology-based web page model for improving accessibility
Proceedings of the 19th international conference on World wide web
Modelling web navigation with the user in mind
Proceedings of the 2010 International Cross Disciplinary Conference on Web Accessibility (W4A)
Document structure meets page layout: loopy random fields for web news content extraction
Proceedings of the 10th ACM symposium on Document engineering
WPPS: a framework for web page processing
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Web object identification for web automation and meta-search
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Feature-based object identification for web automation
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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On today's Web, designers take huge efforts to create visually rich websites that boast a magnitude of interactive elements. Contrarily, most web information extraction (WIE) algorithms are still based on attributed tree methods which struggle to deal with this complexity. In this paper, we introduce a versatile model to represent web documents. The model is based on gestalt theory principles---trying to capture the most important aspects in a formally exact way. It (i) represents and unifies access to visual layout, content and functional aspects; (ii) is implemented with semantic web techniques that can be leveraged for i.e. automatic reasoning. Considering the visual appearance of a web page, we view it as a collection of gestalt figures---based on gestalt primitives---each representing a specific design pattern, be it navigation menus or news articles. Based on this model, we introduce our WIE methodology, a re-engineering process involving design patterns, statistical distributions and text content properties. The complete framework consists of the UOM model, which formalizes the mentioned components, and the MANM layer that hints on structure and serialization, providing document re-packaging foundations. Finally, we discuss how we have applied and evaluated our model in the area of web accessibility.