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» Improving Ontology Matching Using Meta-level Learning
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COLING
2010
14 years 6 months ago
Improved Discriminative ITG Alignment using Hierarchical Phrase Pairs and Semi-supervised Training
While ITG has many desirable properties for word alignment, it still suffers from the limitation of one-to-one matching. While existing approaches relax this limitation using phra...
Shujie Liu, Chi-Ho Li, Ming Zhou
ISBI
2006
IEEE
15 years 5 months ago
Improve brain registration using machine learning methods
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...
Guorong Wu, Feihu Qi, Dinggang Shen
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
15 years 5 months ago
Determining Termhood for Learning Domain Ontologies using Domain Prevalence and Tendency
In the course of reviewing existing automatic term recognition techniques for applications in ontology learning, we came across four issues which can be improved upon. We proposed...
Wilson Wong, Wei Liu, Mohammed Bennamoun
87
Voted
ASWC
2009
Springer
15 years 6 months ago
Overcoming Schema Heterogeneity between Linked Semantic Repositories to Improve Coreference Resolution
Schema heterogeneity issues often represent an obstacle for discovering coreference links between individuals in semantic data repositories. In this paper we present an approach, w...
Andriy Nikolov, Victoria S. Uren, Enrico Motta, An...
107
Voted
SEMWEB
2009
Springer
15 years 6 months ago
Anchor-Flood: Results for OAEI 2009
Our ontology schema matching algorithm takes the essence of the locality of reference by considering the neighboring concepts and relations to align the entities of ontologies. It ...
Md. Seddiqui Hanif, Masaki Aono