Title :
Eliminate semantic conflicts in Web mining with extension methods
Author :
Weihua, Li ; Chunyan, Yang
Author_Institution :
Guangdong Univ. of Technol., Guangzhou
Abstract :
This paper discusses the issue of semantic conflicts in Web mining. It shows that intelligent agents with the help of ontology can eliminate some kinds of these semantic conflicts but they cannot eliminate other complicated ones. The paper proposes to use the extension methods that can eliminate different kinds of semantic conflicts effectively. It presents examples of semantic conflicts elimination process by the extension methods.
Keywords :
data mining; ontologies (artificial intelligence); semantic Web; Web mining; extension methods; intelligent agents; ontology; semantic conflicts; semantic conflicts elimination process; Databases; Humans; Information retrieval; Intelligent agent; Machine intelligence; Ontologies; Semantic Web; Vocabulary; Web mining; Web pages;
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
DOI :
10.1109/ICSMC.2007.4413607