A Novel Visualization Model for Web Search Results
IEEE Transactions on Visualization and Computer Graphics
| Hi-index | 0.00 |
Web search process can be time consuming and frustrating due to the enormous amount of information available on the web. Recently, web spiders with Information Extraction Techniques that analyze retrieved documents have been proposed. This leads to an extended search process in which hypertext structure is enriched with semantic annotations. As consequence graph visualization techniques must be up-to-date for a better understanding of modified results. In particular additional semantic information must be taken into account without forcing the user browsing through unnecessary documents. As a first attempt towards graph visualization for semantic crawling, in this work we describe an example of XML-based visualisation system that provides a semantic visualization by means of dynamic fields that are associated to each node.