Intelligent Database Systems Lab

Presenter : Chuang, Kai-Ting

Authors : Rafael Odon de Alencar, Clodoveu Augusto Davis Jr.,

Marcos André Gonçalves

2010, ACM

Geographical classification of documents using evidence from Wikipedia

Intelligent Database Systems Lab

Outlines Motivation Objectives Methodology Experiments Conclusions Comments

Intelligent Database Systems Lab

Motivation• Geography-related terms are often used in Web

search queries.

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Objectives• It is important to recognize the association of

documents to places in order to adequately respond

to such queries.

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Methodology• This paper shows a technique for classifying

documents according to their association to places,

based on the occurrence of terms that coincide with

Wikipedia entry titles.

Intelligent Database Systems Lab

Methodology

Intelligent Database Systems Lab

Methodology

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Experiments

Intelligent Database Systems Lab

Experiments

Intelligent Database Systems Lab

Experiments

Intelligent Database Systems Lab

Experiments• We defined 100 place names to be removed from the

documents.• 10-fold cross validation was used.• Impact in precision:

– Wikipedia Model: more than 30% of loss.– TF-IDF Bag-of-words model: about 6% of loss.

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Conclusions• Experiments showed that a high level of precision can

be achieved with this approach.

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Comments• Advantages– The approach is helpful.

• Applications– Geographic information retrieval.