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» Refactoring Methods for Knowledge Bases
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RE
2006
Springer
14 years 9 months ago
Using Domain Ontology as Domain Knowledge for Requirements Elicitation
Domain knowledge is one of crucial factors to get a great success in requirements elicitation of high quality, and only domain experts, not requirements analysts, have it. We prop...
Haruhiko Kaiya, Motoshi Saeki
SWWS
2008
14 years 11 months ago
A New Knowledge Representation Model to Support Multilingual Ontologies. A case Study
- Knowledge extraction methods have not efficiently evolved towards new methods to automate the process of building multilingual ontologies as the main representation of structured...
Jesús Cardeñosa, Carolina Gallardo, ...
GFKL
2005
Springer
133views Data Mining» more  GFKL 2005»
15 years 3 months ago
Finding Persisting States for Knowledge Discovery in Time Series
Abstract. Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the ...
Fabian Mörchen, Alfred Ultsch
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
15 years 10 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
AAAI
2008
15 years 4 days 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 ...