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Publicação
Geographically Aware Web Text Mining
Autores
Orientador(es)
Resumo(s)
Text mining and search have become important research areas over
the past few years, mostly due to the large popularity of the Web. A
natural extension for these technologies is the development of methods
for exploring the geographic context of Web information.
Human information needs often present specific geographic constraints.
Many Web documents also refer to speci c locations. However, relatively
little e ort has been spent on developing the facilities required
for geographic access to unstructured textual information. Geographically
aware text mining and search remain relatively unexplored.
This thesis addresses this new area, arguing that Web text mining can
be applied to extract geographic context information, and that this
information can be explored for information retrieval. Fundamental
questions investigated include handling geographic references in text,
assigning geographic scopes to the documents, and building retrieval
applications that handle/use geographic scopes. The thesis presents
appropriate solutions for each of these challenges, together with a
comprehensive evaluation of their efectiveness. By investigating these
questions, the thesis presents several findings on how the geographic
context can be efectively handled by text processing tools.
Descrição
Palavras-chave
Geographic Information Retrieval Web/Text Mining