An Exploratory Study on the Impact of Temporal Features on the Classification and Clustering of Future-Related Web Documents

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Ricardo Campos (Autor) Outra; Gael Dias (Autor) Outra; Alipio Jorge (Autor) FCUP

Ata de Conferência Internacional

Título: PROGRESS IN ARTIFICIAL INTELLIGENCE

Páginas: 581-596

15th Portuguese Conference on Artificial Intelligence (EPIA 2011)

Lisbon, PORTUGAL, OCT 10-13, 2011

Indexação

ISI Web of Knowledge - 2 Citações

ISI Web of Science

Scopus - 1 Citação

Classificação Científica

CORDIS: Ciências Físicas > Ciência de computadores > Cibernética > Inteligência artificial

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-002-VYY

DOI: 10.1007/978-3-642-24769-9_42

Abstract (EN): In the last few years, a huge amount of temporal written information has become widely available on the Internet with the advent of forums, blogs and social networks. This gave rise to a new challenging problem called future retrieval, which consists of extracting future temporal information, that is known in advance, from web sources in order to answer queries that combine text of a future temporal nature. This paper aims to confirm whether web snippets can be used to form an intelligent web that can detect future expected events when their dates are already known. Moreover, the objective is to identify the nature of future texts and understand how these temporal features affect the classification and clustering of the different types of future-related texts: informative texts, scheduled texts and rumor texts. We have conducted a set of comprehensive experiments and the results show that web documents are a valuable source of future data that can be particularly useful in identifying and understanding the future temporal nature of a given implicit temporal query.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 16