Title :
A Social Network Analysis methods based on ontology
Author :
Li, Tao ; Yang, He ; He, Jun ; Ai, Yong
Author_Institution :
Sch. of Comput., Wuhan Univ. of Sci. & Technol., Wuhan, China
Abstract :
Social Network Analysis mainly make use of graph theory and matrix technology to analyze relationship data, but relationships are various and different, the edges in the graph or the numerical values in the matrix are incapable of express the plentiful semantics that the relationships. In this paper, a social network analysis method based on ontology is proposed, which can describe the semantic of relationship. We create the relationship ontology, and illuminate the attribute and constraints of ontology, so the computer can know the relationship semantic and implement the reasoning.
Keywords :
graph theory; matrix algebra; ontologies (artificial intelligence); social networking (online); graph theory; matrix technology; relationship data analysis; relationship ontology; relationship semantic; social network analysis method; Ontologies; Semantics; ontology; relationship ontology; social network analysis;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8004-3
DOI :
10.1109/KAM.2010.5646196