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CIKM
2009
Springer
13 years 10 months ago
A framework for semantic link discovery over relational data
Discovering links between different data items in a single data source or across different data sources is a challenging problem faced by many information systems today. In partic...
Oktie Hassanzadeh, Anastasios Kementsietsidis, Lip...
WWW
2009
ACM
14 years 8 months ago
A declarative framework for semantic link discovery over relational data
In this paper, we present a framework for online discovery of semantic links from relational data. Our framework is based on declarative specification of the linkage requirements ...
Oktie Hassanzadeh, Lipyeow Lim, Anastasios Kements...
IJCAI
1997
13 years 8 months ago
A Study of Causal Discovery With Weak Links and Small Samples
Weak causal relationships and small sample size pose two significant difficulties to the automatic discovery of causal models from observational data. This paper examines the infl...
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xind...
SIGIR
2009
ACM
14 years 2 months ago
The importance of manual assessment in link discovery
Using a ground truth extracted from the Wikipedia, and a ground truth created through manual assessment, we show that the apparent performance advantage seen in machine learning a...
Darren Wei Che Huang, Andrew Trotman, Shlomo Geva
CN
1999
114views more  CN 1999»
13 years 7 months ago
An Improved Topology Discovery Algorithm for Networks with Wormhole Routing and Directed Links
We propose a new parallel topology discovery algorithm for irregular, mesh-connected networks with unidirectional links and wormhole routing. An algorithm of this type was develop...
Ying-Yi Huang, Mart L. Molle