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» Learning Semantic Relationships between Entities in Twitter
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I3
2007
13 years 6 months ago
Identity: How to name it, How to find it
The main objective of this work is to exploit the relationship between the information findability problem and a subject-based organization of information. Identification of a sub...
Christo Dichev, Darina Dicheva, Jan Fischer
JOCN
2010
99views more  JOCN 2010»
13 years 3 months ago
"Virus and Epidemic": Causal Knowledge Activates Prediction Error Circuitry
■ Knowledge about cause and effect relationships (e.g., virus– epidemic) is essential for predicting changes in the environment and for anticipating the consequences of events...
Daniela B. Fenker, Mircea Ariel Schoenfeld, Michae...
KCAP
2011
ACM
12 years 8 months ago
Multipedia: enriching DBpedia with multimedia information
Enriching knowledge bases with multimedia information makes it possible to complement textual descriptions with visual and audio information. Such complementary information can he...
Andrés García-Silva, Max Jakob, Pabl...
CIKM
2005
Springer
13 years 11 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan
WWW
2011
ACM
13 years 7 days ago
Pragmatic evaluation of folksonomies
Recently, a number of algorithms have been proposed to obtain hierarchical structures — so-called folksonomies — from social tagging data. Work on these algorithms is in part ...
Denis Helic, Markus Strohmaier, Christoph Trattner...