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    Publications

    Publications by Alípio Jorge

    2001

    Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving, 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001, Proceedings

    Authors
    Brazdil, P; Jorge, A;

    Publication
    EPIA

    Abstract

    2005

    Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings

    Authors
    Gama, J; Camacho, R; Brazdil, P; Jorge, A; Torgo, L;

    Publication
    ECML

    Abstract

    2009

    Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009

    Authors
    Gama, J; Costa, VS; Jorge, AM; Brazdil, P;

    Publication
    Discovery Science

    Abstract

    1994

    Learning by Refining Algorithm Sketches

    Authors
    Brazdil, P; Jorge, A;

    Publication
    ECAI

    Abstract

    1999

    Iterative Induction of Logic Programs, An approach to logic program synthesis from incomplete specifications

    Authors
    Jorge, A;

    Publication
    AI Commun.

    Abstract

    2011

    What is the temporal value of web snippets?

    Authors
    Campos, R; Dias, G; Jorge, AM;

    Publication
    CEUR Workshop Proceedings

    Abstract
    The World Wide Web (WWW) is a huge information network from which retrieving and organizing quality relevant content remains an open question for mostly all implicit temporal queries, i.e., queries without any date but with an underlying temporal intent. In this research, we aim at studying the temporal nature of any given query by means of web snippets or web query logs. For that purpose, we conducted a set of experiments, which goal is to assess the percentage of web snippets or queries (in query logs) having temporal features, thus checking whether they are a valuable source of data to help on inferring the temporal intent of queries, namely implicit ones. Our results show that web snippets, as opposed to web query logs, are an important source of concentrated information, where time clues often appear. As a consequence, they can be particularly useful to identify and understand "on-the-fly" the implicit temporal nature of queries in the context of ephemeral clustering.

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