Title :
Knowledge push technology based on group characteristics
Author :
Ming-jian, Zhou ; Yu-cheng, Zhang
Author_Institution :
School of Computer Science & Technology, Nanchang University, China
Abstract :
Because Knowledge Management System (KMS) has large amounts of data and updates frequently, knowledge push technology is becoming more and more important. But the existing knowledge push technologies only considered individual characteristics. By analyzing the interested information of each KMS users´ group and then extract the characteristics of every group, this paper, based on Ontology, introduces a push technology, which considered the users´ group characteristics.
Keywords :
Computers; Context; Indexing; Knowledge management; Ontologies; Terminology; Ontology; group characteristics; knowledge push;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691881
