Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/36280

TitleTime-aware focused web crawling
Author(s)Pereira, Pedro
Macedo, Joaquim
Craveiro, Olga
Madeira, Henrique
KeywordsWeb crawling
Temporal text segmentation
Temporal information extraction
Temporal information retrieval
Issue date2014
PublisherSpringer International Publishing AG
JournalLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract(s)There is a plethora of information inside the Web. Even the top commercial search engines can not download and index all the available information. So, in the recent years, there are several research works on the design and implementation of focused topic crawlers and also on geographic scope crawlers. Despite other areas of information retrieval, research on Web crawling is not using the temporal information extracted from Web pages in the used crawling criteria. Therefore, our research challenge is the use of temporal data extracted from Web pages as the main crawling criteria to satisfy a given temporal focus. The importance of the time dimension is quite amplified when combined with topic or geography, but now we want to study it isolated. The used approach is based on temporal segmentation of Web pages text. It only follows links within segments tagged with dates in the scope of restriction. A precision around 75% was achieved in preliminary experimental results.
TypeConference paper
URIhttps://hdl.handle.net/1822/36280
ISBN978-3-319-06027-9
DOI10.1007/978-3-319-06028-6_53
ISSN0302-9743
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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