Abstract
Misleading user interfaces and overloaded web sites are some of the reasons why users avoid certain web sites while searching for information on the world wide web. In order to improve the usability and accessibility of web sites, techniques which take the semantic structure of the web documents into account have to be employed. The semantic analysis approach described in this paper aims at recognizing those parts within web documents that are particularly relevant for a specific usage scenario. Different combinations of syntactical constructs are mapped to different analysis classes whose semantic constructs correspond to concrete interaction tasks predefined in task models. The task models are used as a workflow guiding the user through the shop** procedure, whereby for each identified task a corresponding semantic concept on the web site is identified. The described techniques will be embedded in a so called screen reader application for visually impaired people who do not have the ability to use a graphical display.
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References
Berardi, M., Lapi, M., Malerba, D.: An Integrated Approach for Automatic Semantic Structure Extraction in Document Images. Document Analysis Systems, Florence (2004)
Cohen, W.W.: Learning and Discovering Structure in Web Pages IEEE Data Engineering Bulletin. 26 (2003)
Etzioni, O.: The world wide web: Quagmire or gold mine. Communications of the ACM 39(11) (1996)
Feng, J., Haffner, P., Gilbert, M.: A Learning Approach to Discovering Web Page Semantic Structures. In: Proc. of the 8th Conference on Document Analysis and Recognition, Seoul (2005)
Ferrucci et al.: IBM Research Report. Towards an Interoperability Standard for Text and Multi-Model Analytics. Technical Report. IBM (2006)
Harper, S., Bechhofer, S.: SADIe: Structural Semantics for Accessibility and Device Independence. ACM Transactions on Computer-Human Interaction 14(2) (2007)
Koehnke, M.: Recognition of Structure and Semantic Relationships in Web Documents. University of Rostock. Diploma Thesis (in German) (2008)
Kosala, R., Blockeel, H.: Web Mining Research: A Survey. In: SIGKDD Explorations. ACM SIGKDD (July 2000)
Mori, G., Paterno, F., Santoro, C.: CTTE: Support for Develo** and Analyzing Task Models for Interactive System Design. IEEE Transactions on Software Engineering 28(8) (2002)
Mukherjee, S., Yang, G., Tan, W., Ramakrishnan, I.V.: Automatic Discovery of Semantic Structures in HTML Documents. In: Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), Edinburgh (2003)
Plessers, P., Casteleyn, S., Yesilada, Y., De Troyer, O., Stevens, R., Harper, S., Goble, C.: Accesibility: A Web Engineering Approach. In: Proc. of the Int. World Wide Web Conference (2005)
Radeke, F., Forbrig, P.: Patterns in Task-Based Modeling of User Interfaces In: Task Models and Diagrams for User Interface Design (2007)
Yesilada, Y., Stevens, R., Goble, C.: A foundation for tool based mobility support for visually impaired Web users. In: Proc. of the 12. World Wide Web Conf. (2003)
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Koehnke, M., Ignatova, T., Weicht, M., Bruder, I. (2008). Identifying Semantic Constructs in Web Documents to Improve Web Site Accessibility. In: Hartmann, S., Zhou, X., Kirchberg, M. (eds) Web Information Systems Engineering – WISE 2008 Workshops. WISE 2008. Lecture Notes in Computer Science, vol 5176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85200-1_11
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DOI: https://doi.org/10.1007/978-3-540-85200-1_11
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