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EMNLP
2008
13 years 9 months ago
Scalable Language Processing Algorithms for the Masses: A Case Study in Computing Word Co-occurrence Matrices with MapReduce
This paper explores the challenge of scaling up language processing algorithms to increasingly large datasets. While cluster computing has been available in commercial environment...
Jimmy J. Lin
HPDC
2010
IEEE
13 years 8 months ago
Massive Semantic Web data compression with MapReduce
The Semantic Web consists of many billions of statements made of terms that are either URIs or literals. Since these terms usually consist of long sequences of characters, an effe...
Jacopo Urbani, Jason Maassen, Henri E. Bal
ICDE
2007
IEEE
153views Database» more  ICDE 2007»
14 years 2 months ago
An Indexing Structure for Automatic Schema Matching
Querying semantically related data sources depends on the ability to map between their schemas. Unfortunately, in most cases matching between schema is still largely performed man...
Fabien Duchateau, Zohra Bellahsene, Mark Roantree,...
APVIS
2006
13 years 9 months ago
Visualization of a closed three-dimensional surface using portal-based rendering
The complexity and size of data is rapidly increasing in modern science, business and engineering. This has resulted in increasing demands for more sophisticated data analysis met...
Michael Bui, Nick Lowe, Masahiro Takatsuka
WWW
2009
ACM
14 years 8 months ago
Mapping the world's photos
We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. Our approach combines content analy...
David J. Crandall, Lars Backstrom, Daniel P. Hutte...