Title :
Review and Perspective of Markov Network Information Retrieval Model
Author :
Gan Lixin ; Tu Wei ; Liu Guodong ; Yu Junying
Author_Institution :
Jiangxi Sci. & Technol. Normal Univ., Nanchang, China
Abstract :
Markov network information retrieval model integrates computer, Atopology and possibility which is a powerful tool for representation and inference of possibility knowledge. This paper mainly introduces background and the general theory of the model. Several information retrieval models based on the Markov network are summed up from different perspective of Markov network space. Finally, the future work on the model is proposed.
Keywords :
Markov processes; information retrieval; Markov network; Web information resource; computer topology; information retrieval model; Computational modeling; Educational institutions; Information retrieval; Markov random fields; Mutual information; Semantics;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6040277