DocumentCode
690441
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
fYear
2013
fDate
14-15 Dec. 2013
Firstpage
719
Lastpage
722
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Sciences and Applications (CSA), 2013 International Conference on
Conference_Location
Wuhan
Type
conf
DOI
10.1109/CSA.2013.173
Filename
6835699
Link To Document