In this paper, we propose a system for helping users to judge the credibility of Web search results and to search for credible Web pages. Conventional Web search engines present o...
This paper presents WordRank, a new page ranking system, which exploits similarity between interconnected pages. WordRank introduces the model of the ‘biased surfer’ which is ...
We consider the problem of deep web source selection and argue that existing source selection methods are inadequate as they are based on local similarity assessment. Specificall...
This paper presents an approach of a cross-lingual information retrieval which uses a ranking method based on a penalisation version of the Jaccard formula. The obtained results a...
We demonstrate Factal—a system for integrating deep web sources. Factal is based on the recently introduced source selection method SourceRank; which is a measure of trust and r...