Paolo Avesani

Quality-based Indexing of Web Information.

In this project we propose methods for an appropriate caching and re-organization of the Web contents centered around the notion of “quiews”, namely appropriate views of the Web on specific topics with emphasis on the quality. The extraction of information takes place on given topics using focussed crawling, while the indexing and searching tasks are carried out by both content-based and collaborative filtering methods. This topic-based extraction mechanism gives rise to a natural distributed organization of the overall searching process.

Unlike search engines, aimed at indexing all the Web, it is reasonable to conceive advanced categorization models involving sophisticated taxonomies and to construct indexes enriched by linguistic features, which allow us to face the ambiguity that are typically connected with simple keywords-based queries. In addition, in spite of nowadays search engines, in the proposed model the searching platforms are expected to benefit from the users’ relevant feedback and to learn the page rank, since they operate into a controlled environments. In order to limit unnecessary duplications of quiews, any federation of search engines which operate in different sites and organizations communicate through a peer-to-peer scheme.

See more details in http://quiew.itc.it.