Marco Alfano
ABSTRACT
Search engines and directories are the main tools used to find desired information into the ocean of digital contents that is the Web. However, they are not presently able to understand the user specific needs and starting knowledge because their inability to simulate the processes of human mind. Natural Language Processing, Folksonomy, Semantic Web and Serendipitous Surfing are some of the recent research fields towards understanding and satisfying the different user needs.
This work aims to add one step more to this evolution path by presenting a new web search methodology that allows to create new knowledge paths based on user specific requirements. Thus, we consider different web-searcher typologies such as "basic searchers", "deep searchers" and "wide searchers" with different search expectations and starting knowledge. Some preliminary experiments have been performed to validate this methodology and build a new search engine around it.
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Index Terms
- A web search methodology for different user typologies
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