Title :
An optimized ontology transfer learning method
Author :
Tian, Hong ; Li, Yunhong ; Liu, Hongbo ; Abraham, Ajith
Author_Institution :
Sch. of Software, Dalian Jiaotong Univ., Dalian, China
Abstract :
Recently, more and more research is devoted for ontology in the semantic web domain. Firstly, a method for choosing the set of candidate similar concepts is presented based on ontology graphical structural features and data mining. Secondly, a calculation method of conceptual similarity is proposed based on the characteristics of the concept ontology and information content. Finally, the optimized ontology can be transferred into learning. Experimental results illustrate that this method is effective for computing the concept similarity and ontology can be transferred successfully to learn.
Keywords :
data mining; learning (artificial intelligence); ontologies (artificial intelligence); semantic Web; concept ontology; conceptual similarity method; data mining; ontology graphical structural features; ontology transfer learning method; semantic Web; Complexity theory; Computers; Government; Lattices; Ontologies; Semantic Web; Semantics; concept similarity; data mining; ontology; transfer learning;
Conference_Titel :
Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on
Conference_Location :
Krackow
Print_ISBN :
978-1-4244-7817-0
DOI :
10.1109/CISIM.2010.5643515
