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Dynamic User-Defined Similarity Searching in Semi-Structured Text Retrieval

Modern text retrieval systems often provide a similarity search utility, that allows the user to find efficiently a fixed number k of documents in the data set that are most similar to a given query (here a query is either a simple sequence of keywords or the identifier of a full document found in previous searches that is considered of interest). We consider the case of a textual database made of semi-structured documents. For example, in a corpus of bibliographic records any record may be structured into three fields: title, authors and abstract, where each field is an unstructured free text. Each field, in turns, is modelled with a specific vector space.


2007

Autori: Geraci F., Pellegrini M.
Autori IIT:

Tipo: Rapporti tecnici, manuali, carte geologiche e tematiche e prodotti multimediali
Area di disciplina: Information Technology and Communication Systems
rapporti tecnici IIT 2007-TR-007