2002
@inproceedings{Car2002,
vgclass = {refpap},
author = {Claudio Carpineto},
title = {Conceptual Structures in Modern Information Retrieval},
editor = {Uta Priss and Dan Corbett and Galia Angelova},
booktitle = {Proceedings of the 10th International Conference on
Conceptual Structures, (ICCS 2002)},
address = {Borovets, Bulgaria},
number = {2393},
series = {Lecture Notes in Computer Science},
pages = {1},
publisher = {Springer-Verlag},
month = {July~15--19},
year = {2002},
url = {http://lml.bas.bg/iccs2002/Claudio_paper.htm},
url1 = {http://lml.bas.bg/iccs2002/carpineto.ppt},
abstract = {Motivated by a desire to go beyond keywords, the use of
conceptual structures to improve the effectiveness of information
retrieval has been around for a long time without producing impressive
results. However, things have changed considerably over the last few
years. The growth of the web has favoured the emergence of new search
applications, usage patterns, data formats, and interaction paradigms.
Traditional information retrieval assumptions and techniques have thus
been deeply questioned; for instance, it is inherently more difficult
to retrieve the information of interest if the user queries are very
short and the collections being searched are highly heterogeneous, as
is the case in web retrieval. Furthermore, a number of more
challenging information finding tasks have emerged that seem to
require a better understanding of the meaning of queries and documents
and at least some ability of interpretation and manipulation of text
data. These include, among others, question answering, information
retrieval with structured queries, homepage finding, information
retrieval from mobile devices, recommender systems, and mining of
specialised collections. As a result, much of the current research in
information retrieval has focused on the exploitation of a richer
query or document context, from which to extract concepts or knowledge
that may improve the system's retrieval effectiveness. Retrieval
feedback, ontologies, XML, and web links are popular examples of a
contextual source used for enhanced information retrieval. In this
talk, I will consider the use of various forms of conceptual
structures in several modern information retrieval tasks and discuss
why they represent both a need and an opportunity for the
accomplishment of such tasks. Then I will present some research
efforts that are under way at Fondazione Ugo Bordoni on the
integration of statistical and conceptual text processing techniques
for more effective information retrieval, including the use of concept
data analysis for document ranking and mining.},
}