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» Inferring Knowledge from a Large Semantic Network
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ICTAI
2007
IEEE
15 years 10 months ago
Semantic Web: The Story So Far
The goal of Semantic Web research is to transform the Web from a linked document repository into a distributed knowledge base and application platform, thus allowing the vast rang...
Ian Horrocks
ISMIS
1999
Springer
15 years 8 months ago
A Statistical Approach to Rule Selection in Semantic Query Optimisation
Semantic Query Optimisation makes use of the semantic knowledge of a database (rules) to perform query transformation. Rules are normally learned from former queries fired by the u...
Barry G. T. Lowden, Jerome Robinson
AIME
2005
Springer
15 years 6 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim
AAAI
2008
15 years 6 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...
CIKM
2010
Springer
15 years 2 months ago
Automatic metadata extraction from multilingual enterprise content
Enterprises provide professionally authored content about their products/services in different languages for use in web sites and customer care. For customer care, personalization...
Melike Sah, Vincent Wade