Place in perspective: Extracting online information about Points of Interest


Ana O. Alves
Francisco Câmara Pereira
Filipe Rodrigues (fmpr [at]
João Oliveirinha


During the last few years, the amount of online descriptive information about places has reached reasonable dimensions for many cities in the world. Being such information mostly in Natural Language text, Information Extraction techniques are needed for obtaining the meaning of places that underlies these massive amounts of commonsense and user made sources. In this article, we show how we automatically label places using Information Extraction techniques applied to online resources such as Wikipedia, Yellow Pages and Yahoo!


International Joint Conference on Ambient Intelligence, 2010