Title
Place in perspective: extracting online information about points of interest
Abstract
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!.
Year
DOI
Venue
2010
10.1007/978-3-642-16917-5_7
AMI
Keywords
Field
DocType
information extraction technique,yellow pages,reasonable dimension,online descriptive information,natural language text,online information,massive amount,information extraction,point of interest,natural language
Noun phrase,World Wide Web,Information retrieval,Computer science,Natural language,Information extraction,Point of interest,String metric
Conference
Volume
ISSN
ISBN
6439
0302-9743
3-642-16916-3
Citations 
PageRank 
References 
3
0.52
11
Authors
4
Name
Order
Citations
PageRank
Ana O. Alves1388.04
Francisco C. Pereira233133.07
Filipe Rodrigues3978.80
João Oliveirinha481.33