Title :
A Semantic Adaptation Method and System
Author :
Jiang, Zhu ; Jun, Jiang ; San-ping Li
Author_Institution :
Dept. of Mil. Operational, Nanjing Army Command Coll., Nanjing, China
Abstract :
An intelligent content adaptation system taking semantic adaptation method is built to provide good personalized service for user. Compared with some website using web mining and collaborative Filtering technology, in this system, the intelligence comes from the knowledge service providing by CBKMF(ontology-Cloud based knowledge manage framework), in which knowledge modeling, managing, data-mining and evolving is tackled by ontology cloud model. what´s more, the knowledge is described more delicated and can be utilized more easily, with less time and space cost. As the knowledge is regarded as a kind of resource in this framework, it is more suitable for building intelligent system under Semantic Web circumstance in future.
Keywords :
Web sites; content management; information filtering; knowledge management; ontologies (artificial intelligence); semantic Web; Web mining; Website; collaborative filtering technology; data mining; intelligent content adaptation system; knowledge modeling; knowledge service; ontology cloud based knowledge manage framework; semantic Web; semantic adaptation method; Clouds; Context; Filtering; Ontologies; Semantics; Servers; knowledge; knowledge-engeering; ontology; ontology cloud;
Conference_Titel :
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-7621-3
Electronic_ISBN :
978-1-4244-7622-0
DOI :
10.1109/IFITA.2010.284