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» Catriple: Extracting Triples from Wikipedia Categories
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CORR
2011
Springer
209views Education» more  CORR 2011»
13 years 29 days ago
An Empirical Study of Real-World SPARQL Queries
Understanding how users tailor their SPARQL queries is crucial when designing query evaluation engines or fine-tuning RDF stores with performance in mind. In this paper we analyz...
Mario Arias, Javier D. Fernández, Miguel A....
SOCIALCOM
2010
13 years 3 months ago
Traffic in Social Media I: Paths Through Information Networks
Wikipedia is used every day by people all around the world, to satisfy a variety of information needs. We crosscorrelate multiple Wikipedia traffic data sets to infer various behav...
Jacob Ratkiewicz, Alessandro Flammini, Filippo Men...
WSDM
2009
ACM
114views Data Mining» more  WSDM 2009»
14 years 23 days ago
Wikipedia pages as entry points for book search
A lot of the world’s knowledge is stored in books, which, as a result of recent mass-digitisation efforts, are increasingly available online. Search engines, such as Google Book...
Marijn Koolen, Gabriella Kazai, Nick Craswell
WWW
2007
ACM
14 years 6 months ago
Yago: a core of semantic knowledge
We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains more than 1 million entities a...
Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weiku...
EDBT
2010
ACM
144views Database» more  EDBT 2010»
13 years 9 months ago
Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia
Recent progress in information extraction has shown how to automatically build large ontologies from high-quality sources like Wikipedia. But knowledge evolves over time; facts ha...
Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol,...