Automatic Link Generation and Discovery	for Information Retrieval

Abstract
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Information Retrieval (IR) is the science of the organization, representation,
retrieval and dissemination of information. IR systems usually answer queries
with flat list of documents ranked by a measure of relevance to the information
needs of the end users'. Whereas IR systems reaches acceptable precision at top
ranks, recall is still too low after 10-30 documents. If IR services are
implemented in digital libraries (DLs), recall-oriented searches will be little
effective.

The talk will address the most recent research in IR and DLs at the Department
of Information Engineering of the University of Padova. In particular, the talk
will illustrates motivations, methods and examples of automatic link generation
and discovery for information retrieval. By establishing relationships from
relevant documents, links can support more exhaustive searches thus increasing
recall, supporting hypertext generation and allowing innovative user-system
interaction.

Bio
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Massimo Melucci received a Ph.D. in Computer Engineering from
the Department of Information Engineering of the University of
Padova. Since 2001, he is Associate Professor of Computer Science
at the Faculty of Statistics of the same University and teaches
Databases and Information Retrieval. His research interests
and papers are in Information Retrieval and Digital Libraries, the
main research vehicle of which is automatic link generation.