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BMCBI
2008
208views more  BMCBI 2008»
13 years 7 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
COLING
2002
13 years 7 months ago
Location Normalization for Information Extraction
Ambiguity is very high for location names. For example, there are 23 cities named `Buffalo' in the U.S. Country names such as `Canada', `Brazil' and `China' ar...
Huifeng Li, Rohini K. Srihari, Cheng Niu, Wei Li 0...
SEMWEB
2010
Springer
13 years 5 months ago
Signal/Collect: Graph Algorithms for the (Semantic) Web
The Semantic Web graph is growing at an incredible pace, enabling opportunities to discover new knowledge by interlinking and analyzing previously unconnected data sets. This confr...
Philip Stutz, Abraham Bernstein, William Cohen
CIKM
2010
Springer
13 years 6 months ago
Domain-independent entity coreference in RDF graphs
In this paper, we present a novel entity coreference algorithm for Semantic Web instances. The key issues include how to locate context information and how to utilize the context ...
Dezhao Song, Jeff Heflin