Fabrizio Sebastiani: Research

  • My research interests
  • Text categorization
  • Logical Models of Information Retrieval
  • Non-Monotonic Reasoning
  • Knowledge Representation Formalisms for Taxonomic Reasoning
  • Natural Language Processing
  • My students

  • My research interests

    Automated text categorization by machine learning techniques

    This is the more recent side of my research. Issues I am working on are:

    Some part of this research is being (or was) was carried out within On the side, I also maintain a fully searchable bibliography on automated text categorization. You can either view it or download it as a single file or access it in fully-searchable mode. You may also be interested in the bibliography of all the papers appeared on the Information Retrieval journal, which you can also view or download as a single file or access in fully-searchable mode.

    Logical Models of Information Retrieval

    For three years (1994-97) I have worked on the FERMI ESPRIT-funded project, whose overall goal was the design and experimentation of formal models of multimedia information retrieval, with particular emphasis on logico-probabilistic models. The main thread of the FERMI-related work by me and by my colleagues Carlo Meghini and Umberto Straccia has been the investigation of the use of description logics for IR modelling. Nowadays I still work in information retrieval, although no longer in the "logical" paradigm.

    Speaking of IR, I originally put together for my personal use the complete bibliography of the Information Retrieval journal (Kluwer Academic Publishers); you can either view it or download it as a single file or access it in fully-searchable mode.

    Non-Monotonic Reasoning

    Since 1989 to 1992 I have also investigated issues in non-monotonic reasoning. My activity in this field has dealt with two main areas:

    Knowledge Representation Formalisms for Taxonomic Reasoning

    The interest in description (aka terminological) logics has been a constant throughout my research career. Concerning these, I have worked on their application to the formalisation of awareness (joint work with Alessandro Saffiotti), on their integration with multiple-agent epistemic logics (joint work with Alessandro Saffiotti) and with non-monotonic reasoning formalisms (joint work with Umberto Straccia), on their computational complexity (joint work with Paolo Buongarzoni, Carlo Meghini, Rossella Salis and Umberto Straccia), and on their application to modelling information retrieval (joint work with Carlo Meghini, Umberto Straccia and Costantino Thanos).

    The work I have done with Alessandro Saffiotti is the research work I am most proud of in my entire research career, maybe because of the intellectual excitement with which I and Alessandro, at that time young and very unexperienced researchers, carried it out.

    Natural Language Processing

    This interest is an outgrowth of my thesis work, which dealt with the semantic interpretation of some aspects of technical language, i.e. the kind of language one is going to encounter in appliances's user manuals or the like. Although I am not particularly proud of the results of my thesis work, it nevertheless gave me a chance to discover natural language processing, truly a fascinating field.

    Since 1986 to 1988 I worked in NLP within the ESPRIT CFID Project, dealing with techniques for detection and repair of communication failures in dialogue. In particular, I worked on the development of knowledge representation tools for supporting NLP-based detection and repair of miscommunications due to undetected discrepancies in the beliefs of the participants in the communication.

    Since 1988 I had to sideline my NLP interests, but I am currently picking them up again, due to the importance of NLP in text retrieval and classification.

    My students

    Former students

    Last updated: Friday, December 3, 2004