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Publicações

Publicações por 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

Autores
Brazdil, P; Jorge, A;

Publicação
EPIA

Abstract

2005

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

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

Publicação
ECML

Abstract

2009

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

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

Publicação
Discovery Science

Abstract

1994

Learning by Refining Algorithm Sketches

Autores
Brazdil, P; Jorge, A;

Publicação
ECAI

Abstract

1999

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

Autores
Jorge, A;

Publicação
AI Commun.

Abstract

2011

What is the temporal value of web snippets?

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

Publicação
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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