Authors:
Claudio Biancalana
;
Fabio Gasparetti
;
Alessandro Micarelli
and
Giuseppe Sansonetti
Affiliation:
Roma Tre University, Italy
Keyword(s):
Query Expansion, Social Bookmarking Services, Personalization.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Government
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Internet Technology
;
Knowledge Management
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Symbolic Systems
;
Web Information Systems and Technologies
;
Web Services and Web Engineering
Abstract:
In the last decade, social bookmarking services have gained popularity as a way of annotating and categoriz-
ing a variety of different web resources. The idea behind this work is to exploit such services for enhancing
traditional query expansion techniques. Specifically, the system we propose relies on three-dimensional co-
occurrence matrices, where the further dimension is introduced to represent categories of terms sharing the
same semantic property. Such categories, named semantic classes, are related to the folksonomy mined from
social bookmarking services such as Delicious, Digg, and StumbleUpon. The paper illustrates a comparative
experimental evaluation on real datasets, such as the one collected by the Open Directory Project and the
TREC 2004. We also include the results of a specific disambiguation analysis aimed to evaluate the effective-
ness of our approach in comparison with state-of-the-art techniques when satisfying queries characterized by
polysemic and ambiguous te
rms.
(More)