Abstract | ||
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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 shopping 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. |
Year | DOI | Venue |
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2008 | 10.1007/978-3-540-85200-1_11 | WISE Workshops |
Keywords | Field | DocType |
identifying semantic constructs,corresponding semantic concept,improve web site accessibility,world wide web,task model,semantic structure,certain web site,web site,semantic construct,overloaded web site,web document,web documents,semantic analysis approach,user interface | World Wide Web,Information retrieval,Semantic Web Stack,Web page,Computer science,Web standards,Semantic Web,Data Web,Web modeling,Web navigation,Social Semantic Web,Database | Conference |
Volume | ISSN | Citations |
5176 | 0302-9743 | 1 |
PageRank | References | Authors |
0.38 | 9 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mathias Koehnke | 1 | 1 | 0.38 |
Temenushka Ignatova | 2 | 15 | 3.59 |
Martina Weicht | 3 | 8 | 3.60 |
Ilvio Bruder | 4 | 103 | 24.38 |