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AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
14 years 4 months ago
Determining Termhood for Learning Domain Ontologies in a Probabilistic Framework
Many existing techniques for term extraction are heuristically-motivated and criticised as ad-hoc. The definitions and assumptions critical to set the boundary for the effective...
Wilson Wong, Wei Liu, Mohammed Bennamoun
WEBI
2010
Springer
13 years 7 months ago
Learning in Presence of Ontology Mapping Errors
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
Neeraj Koul, Vasant Honavar
CIARP
2004
Springer
14 years 3 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh
JSW
2007
112views more  JSW 2007»
13 years 9 months ago
The Challenge of Training New Architects: an Ontological and Reinforcement-Learning Methodology
— This paper describes the importance of new skilled architects in the discipline of Software and Enterprise Architecture. Architects are often idealized as super heroes with a l...
Anabel Fraga, Juan Lloréns
CAISE
2006
Springer
14 years 1 months ago
A Matchmaking-based Ontology Evolution Methodology
In this paper, we present the H-Change methodology we have specifically conceived for evolving independent ontologies in open networked systems. Furthermore, we describe the change...
Silvana Castano, Alfio Ferrara, Stefano Montanelli