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TKDE
2008
116views more  TKDE 2008»
13 years 8 months ago
Long-Term Cross-Session Relevance Feedback Using Virtual Features
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
ICDAR
2009
IEEE
14 years 3 months ago
Inductive Logic Programming for Symbol Recognition
In this paper, we make an attempt to use Inductive Logic Programming (ILP) to automatically learn non trivial descriptions of symbols, based on a formal description. This work is ...
K. C. Santosh, Bart Lamiroy, Jean-Philippe Ropers
AIIA
2007
Springer
14 years 2 months ago
Harvesting Relational and Structured Knowledge for Ontology Building in the WPro Architecture
We present two algorithms for supporting semi-automatic ontology building, integrated in WPro, a new architecture for ontology learning from Web documents. The first algorithm auto...
Daniele Bagni, Marco Cappella, Maria Teresa Pazien...
EXPERT
2006
66views more  EXPERT 2006»
13 years 8 months ago
Representation as a Fluent: An AI Challenge for the Next Half Century
We argue that artificial intelligence systems must be able to manipulate their own internal representations automatically in order to deal with an infinitely complex and ever chan...
Alan Bundy, Fiona McNeill
WWW
2007
ACM
14 years 9 months ago
Ontology engineering using volunteer labor
We describe an approach designed to reduce the costs of ontology development through the use of untrained, volunteer knowledge engineers. Results are provided from an experiment i...
Benjamin M. Good, Mark D. Wilkinson