Conference In: dblp, cienciavitae, scopus, orcid
Extracting and exploring the geo-temporal semantics of textual resources
IEEE International Conference on Semantic Computing
— 2008 — IEEE
Key information
Authors:
Published in
09/25/2008
Abstract
Geographical and temporal criteria both have important roles in filtering, grouping and prioritizing information resources. This paper presents techniques for extracting semantic geo-temporal information from textual content, using relatively simple natural language processing methods that leverage on a Web gazetteer service. A prototype system, implementing the proposed methods and capable of displaying the extracted information over maps and timelines, is described in detail. This prototype supports the RSS format as input to the extraction process, demonstrating the possible application of these techniques to content from nearly all online news sites and blogs. Experimental results demonstrate the efficiency and accuracy of the proposed approaches.
Publication details
Authors in the community:
Bruno Emanuel Da Graça Martins
ist24686
José Luís Brinquete Borbinha
ist13085
Hugo Miguel Álvaro Manguinhas
ist31636
Publisher
IEEE
Title of the publication container
IEEE International Conference on Semantic Computing
Location of the conference
Santa Clara, CA, USA
First page or article number
1
Last page
9
Fields of Science and Technology (FOS)
computer-and-information-sciences - Computer and information sciences
Publication language (ISO code)
eng - English
Rights type:
Only metadata available