Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
An adaptive crawler for locating hidden-Web entry points
Proceedings of the 16th international conference on World Wide Web
Introduction to Information Retrieval
Introduction to Information Retrieval
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
U-search: a meta engine for creation of knowledge paths on the web
Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
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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.