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Information Retrieval Lab

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Information Retrieval Lab. DiSCo University of Milan Bicocca viale Sarca 336 ... 7th International Conference FQAS 2006, Milan, Italy, June 2006, Springer Verlag, ... – PowerPoint PPT presentation

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Title: Information Retrieval Lab


1
Information Retrieval Lab
  • DiSCo University of Milan Bicocca viale Sarca
    336
  • Head Prof. Gabriella Pasi

2
The IR Lab in brief
  • The Information Retrieval Group (IRG) was
    established in 2005 at DiSCo, University of Milan
    Bicocca.
  • Today the amount of information available on the
    Web has increased to a point that there are great
    demands for effective systems that allow an easy
    and flexible access to information relevant to
    specific users needs. By flexibility is here
    meant the capability of the system to both manage
    imperfect (vague and/or uncertain) information,
    and to adapt its behaviour to the user context.
  • The research activity undertaken by the
    Information Retrieval group is aimed at defining
    models and techniques that improve the
    limitations of current systems for the
    Information Access (mainly Information Retrieval
    and Information Filtering systems).
  • In particular the problems of context modeling
    and personalization are addressed.

3
IR Lab numbers
  • Small but active!
  • One scientist
  • Two external collaborators
  • Three workplaces for Students and Collaborators
  • About 50 articles in proceeding of international
    conferences and in international journals in the
    last three years
  • 4-5 master students per year

4
IR Lab Activity
  • Research areas
  • Information Retrieval
  • Information Filtering
  • XML Retrieval
  • Web Intelligence
  • Application Domains
  • Large document repositories
  • World Wide Web

5
The problem of automatic access to information
Two main types of systems to locate information
relevant to users needs
  • Information Retrieval Systems (Search Engines)

An explicit query formulation
  • Information Filtering Systems

users profiles, i.e. descriptions of specific
users needs dinamically updated also on the
basis of the users behaviour (no explicit user
query! Push technology)
6
Basic structure of an IRS
Off line
On line
An IRS is based on a mathematical model
7
Information Filtering
Information Filtering is the process of
monitoring large amounts of dynamically generated
information and pushing to a user the subset of
information likely to be of her/his interest
(based on her/his information needs).
8
Information Filtering
  • An IFS needs an information filter that, when
    applied to an information item, evaluates whether
    the item is of interest or not to the considered
    user.

9
XML Retrieval
  • IR systems can be used for the content-based
    retrieval of documents encoded in XML, SGML, and
    HTML. In these collections it is important to
    retrieve documents content and stucture following
    the user's needs.
  • Search and retrieval can be supported through ad
    hoc indexing strategies.
  • This research area studies and proposes advanced
    solutions for storing, managing and retrieving
    structured documents, with particular focus on
    XML documents.

10
Web Intelligence
  • Web Intelligence (WI) exploits AI and advanced
    information technology on the Web and Internet.
    It is the key and the most urgent research field
    of IT for business intelligence.

11
A multiple criteria decision model for
Information Filtering
  • www.peng-project.org
  • Project Coordinator Gabriella Pasi
  • Partners ATOS Origin (SP), UJF (FR), USG (UK),
    USI (SW), RTSI (SW)
  • Objective
  • The PENG Project (2004-2006 IST-2003-004597) had
    the objective of defining and developing a news
    content composition and programming environment
    so as to provide news professionals and general
    users with an interactive and personalised tool
    for news gathering and delivery. This tool is
    conceived as a flexible system for a personalised
    filtering, retrieval and composition of news.

12
Personalized Filtering Module pushes news or
clusters relevant to a user interests to each
user (where each user may have multiple
overlapping interests). The matching function
applied by the filter is personalised to the user
and performs the combined evaluation of each news
with respect to five matching criteria
13
IR Lab people
  • Gabriella Pasi
  • Associate Professor and Head of the Laboratory
  • Stefania Marrara
  • Junior Research Fellow
  • Célia Cristina Pereira
  • Junior Research Fellow

14
Conferences and Events
  • Open Conferences (2008)
  • "Special Track on Information Access and
    Retrieval Systems, within the ACM Symposium on
    Applied Computing, (Fortaleza, Ceará, Brazil,
    March 16 - 20, 2008).  IAR2008
  • Past Events (since 2005)
  • International Workshop on Fuzzy Logic and
    Applications (WILF 2007), Hotel Portofino Kulm,
    Portofino Vetta - Ruta di Camogli, Genova (Italy)
    - July 7-10, 2007
  • PhD School on Web Information Retrieval, WebBar
    2007 Varenna, Italy, 26th August-1st September
    2007.
  • Imprecision, Uncertainty and Fuzziness in
    Databases area at the 23rd International
    Conference on Data Engineering (ICDE07).
    Istanbul, Turkey April 17-20, 2007
  • Seventh International Conference on Flexible
    Query Answering Systems (FQAS 2006), Milano, 2-10
    June 2006.
  • "Special Track on Information Access and
    Retrieval Systems, within the ACM Symposium on
    Applied Computing, (Fortaleza, Ceará, Brazil,
    March 16 - 20, 2008, Dijon France March 2006,
    Santa Fe - New Mexico 13-17 March 2005, Cyprus
    14-17 March 2004, Melbourne - Florida 9-12 March
    2003, Madrid 10-14 March 2002).  IAR2008
  • 3rd International Summer School on Aggregation
    Operators, Università della Svizzera Italiana
    (USI-Lugano), Lugano, 10-15 July 2005

15
Recent Publications
  • Edited Volumes
  • E. Herrera-Viedma, F. Crestani and G. Pasi Soft
    Computing for Web Information Retrieval, edited
    by Physica Verlag, series Studies in Fuzziness
    2006.
  • G. Pasi Flexible Query Answering Systems,
    Proceedings of the 7th International Conference
    FQAS 2006, Milan, Italy, June 2006,  Springer
    Verlag, LNAI 4027.
  • F. Masulli, S. Mitra and G. Pasi Applications
    if Fuzzy Sets Theory, Proceedings of the
    International Workshop on Fuzzy Logic and
    Applications, Ruta di Camogli, Italy, July 2007, 
    Springer Verlag, LNAI 4578.
  • Special Issues
  • Allel-Adjali, P. Bosc and G. Pasi eds. Flexible
    Queries in Information Systems of the Journal of
    Intelligent Information Systems, to appear, 2008.
  • E. Herrera-Viedma and G. Pasi eds."Aggregation
    Operators for Information Systems, of the
    International Journal of Intelligent Systems, to
    appear, 2008.
  • E. Herrera-Viedma and G. Pasi eds. "Soft
    Approaches to Information Retrieval and
    Information Access on the Web", of the Journal of
    the American Society for Information Science,
    2006.

16
Recent Publications
  • Papers in International Journals. 
  • A. Campi, E. Damiani, S. Guinea, S. Marrara, G.
    Pasi, P. Spoletini, A Fuzzy Extension for the
    XPath Query Language, International Journal of
    Intelligent Systems, to appear in 2008.
  • G.Bordogna, G.Pasi, A flexible model for the
    evaluation of soft Conditional Preferences in
    fuzzy databases International Journal of
    Intelligent Systems, to appear in 2008.
  • G. Bordogna, G. Pasi, A flexible approach to
    evaluating soft conditions with unequal
    preferences in fuzzy databases, Special Topic
    Issue on Advances in Fuzzy Database Technology,
    International Journal of Intelligent Systems,
    Vol. 22, Issue 7, pp. 665-689, July 2007.
  • M. Baziz, M Boughanem, G. Pasi, H. Prade, A
    fuzzy logic approach to information retrieval
    using an ontology-based representation of
    documents, International Journal of Applied
    Mathematics and Computer Science (AMCS), to
    appear in 2008.
  • E. Herrera-Viedma, and G. Pasi, "Soft Approaches
    to Information Retrieval and Information Access
    on the Web an introduction to the special topic
    section" of  the Journal of the American Society
    for Information Science and Technology, JASIST
    57(4) 511-514, 2006.
  • E. Herrera-Viedma, G. Pasi, A.G. Lopez-Herrera,
    C. Porcel, Evaluating the Information Quality of
    Web Sites A Methodology Based on Fuzzy Computing
    with Words  Journal of the American Society of
    Information Science, JASIST 57(4) 538-549, 2006.
  • G. Pasi and R.R Yager, Modeling the concept of
    majority opinion in group decision making
    Information Sciences, Volume 176, Issue 4, pp.
    390-414, February 22, 2006.
  • K. Atanassov,  G. Pasi, R.R. Yager,
    "Intuitionistic fuzzy interpretations of
    multi-criteria multi-person and multi-measurement
    tool decision making", International Journal of
    Systems Science, Vol. 36, n. 14, pp. 859-868,
    November 2005.
  • G. Bordogna and G. Pasi, Personalized Indexing
    and Retrieval of Heterogeneous Structured
    Documents, Information Retrieval, Kluwer, Vol. 8,
    Issue 2, pp. 301-318, April 2005.
  • R.A. Marques Pereira, A. Molinari, G. Pasi,
    Contextual weighted representations and indexing
    models for the retrieval of HTML documents, Soft
    Computing, Vol. 9, Issue 7, pp. 481-492, July
    2005.

17
Recent Publications
  • Chapters of International Books
  • G. Pasi, Fuzzy Models, Encyclopedia of Database
    Systems, Ling Liu and M. Tamer Özsu (Eds.),
    Springer, to appear, 2008.
  • M. Fedrizzi and G. Pasi, Fuzzy Approaches to
    Consensus Modelling in Group Decision Making, in
    Intelligent Decision and Policy Making Support
    Systems (D. Ruan, F. Hardeman, K. van der Meer
    eds.), Springer, to appear 2008
  • G. Bordogna, M. Pagani, G. Pasi An Incremental
    Hierarchical Fuzzy Clustering for Category-based
    News Filtering, in "Uncertainty and Intelligent
    Information Systems" (B. Bouchon-Meunier, R.R.
    Yager, C. Marsala, and M. Rifqi eds), World
    Scientific, ISBN 978-981-279-234-1, 2008.
  • G. Bordogna, D.H. Kraft, G. Pasi, Soft Approaches
    to Information Access and Retrieval, in The
    Handbook of Granular Computing, G., Witold
    Pedrycz, Andrzej Skowron, and Vladik Kreinovich
    Co-editors, John Wiley Sons, Ltd., 2008.
  • G. Pasi, Fuzzy Sets in Information Retrieval
    State of the Art and Research trends, In Fuzzy
    Sets and Their Extensions Representation,
    Aggregation and Models. Intelligent Systems from
    Decision Making to Data Mining, Web Intelligence
    and Computer Vision,  (H. Bustince, F. Herrera,
    J. Montero eds.), series Studies in Fuzziness and
    Soft Computing, Springer Verlag, Vol. 220, 2008.
  • G.Bordogna, M.Pagani, G.Pasi, G.Psaila, Flexible
    location-based spatial queries in Theoretical
    Advances and Applications of Fuzzy Logic and Soft
    Computing, Oscar Castillo, Patricia Melin, Oscar
    Montiel Ross, Roberto Sepulveda Cruz, Witold
    Pedrycz, Janusz Kacprzyk Eds, ISBN 3540724338,
    Sprinter Verlag, 42, Advances in Soft Computing
    series, 36-45, 2007.
  • G. Bordogna, M. Pagani, G. Pasi, A Flexible
    decision support approach to model ill-defined
    knowledge in GISs. In AAVV. Geographic
    Uncertainty in Environmental Security, Book
    Series NATO Security through Science Series, (pp.
    133-152). ISBN 978-1-4020-6436-4. doi
    10.1007/978-1-4020-6438-8 (NETHERLANDS), 2007.
  • G. Bordogna, M. Pagani, G.Pasi, A dynamical
    Hierarchical fuzzy clustering algorithm for
    document filtering, in Soft Computing in Web
    Information Retrieval (E. Herrera-Viedma, G.
    Pasi, F. Crestani eds.), series Studies in
    Fuzziness and Soft Computing, Springer Verlag,
    Vol. 197, 1-23, 2006.
  • M. Baziz, M. Boughanem, G. Pasi, A fuzzy logic
    approach to information retrieval using an
    ontology-based representation of documents, in
    Fuzzy Logic and the Semantic Web" (E. Sanchez,
    Ed.), Elsevier Science, pp. 363-377, March 2006.
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