Title :
Battlefield Situational Information Discovery Based on Ontology
Author :
Weifeng Shan ; Jiwen Zhou ; Hao Hu ; Peng Wang
Author_Institution :
Dept. of Commun., Second Artillery Command Coll., Wuhan, China
Abstract :
Battlefield situational information discovery is a key part of information distribution, based on ontology model theory, this paper describes the information service concepts and relationships among them, then get battlefield situational information description in semantic level, then modify the feature weight calculation in TFIDF formula to improve the accuracy of service matching, filter out irrelevant services through clustering calculate to make battlefield situational information discovery more accurate and reliable.
Keywords :
information services; military computing; ontologies (artificial intelligence); pattern clustering; TFIDF formula; battlefield situational information description; battlefield situational information discovery; clustering; information distribution; information service; ontology model theory; service matching; Accuracy; Algorithm design and analysis; Clustering algorithms; Information services; Ontologies; Semantics; Web services; battlefield situational information; ontology; service discovery;
Conference_Titel :
Computer Sciences and Applications (CSA), 2013 International Conference on
Conference_Location :
Wuhan
DOI :
10.1109/CSA.2013.173
