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» Ontology-based integration for relational databases
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AAAI
1996
13 years 11 months ago
Planning to Gather Information
We describe Occam, a query planning algorithm that determines the best way to integrate data from dierent sources. As input, Occam takes a library of site descriptions and a user ...
Chung T. Kwok, Daniel S. Weld
NAR
2011
197views Computer Vision» more  NAR 2011»
13 years 16 days ago
dictyBase update 2011: web 2.0 functionality and the initial steps towards a genome portal for the Amoebozoa
dictyBase (http://www.dictybase.org), the model organism database for Dictyostelium, aims to provide the broad biomedical research community with well integrated, high quality dat...
Pascale Gaudet, Petra Fey, Siddhartha Basu, Yulia ...
BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
14 years 4 months ago
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...
IJCV
2007
195views more  IJCV 2007»
13 years 9 months ago
Pre-Attentive and Attentive Detection of Humans in Wide-Field Scenes
We address the problem of localizing and obtaining high-resolution footage of the people present in a scene. We propose a biologically-inspired solution combining pre-attentive, lo...
James H. Elder, Simon J. D. Prince, Yuqian Hou, Mi...
CIKM
2009
Springer
14 years 4 months ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu