Title :
Automatic Term Extraction in Cryptology Based on Extension of Central String
Author :
Shichao, Chen ; Bin, Yu
Author_Institution :
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
Abstract :
The features of terms in Cryptology are analyzed. A method of automatic term extraction based on extension of central strings is addressed, in view of linguistic and statistical characteristics. Experimental results indicate that in contrast to common methods, the velocity of extraction in the proposed method is improved as well as precision and receivable recall. When applied to Ontology learning of Cryptology, an excellent performance has been achieved.
Keywords :
cryptography; ontologies (artificial intelligence); statistical analysis; automatic term extraction; central string extension; cryptology; linguistic characteristics; ontology learning; statistical characteristics; Cryptography; Data mining; Feature extraction; Filtration; Mutual information; Ontologies; Pragmatics; Automatic Term Extraction; Cryptology; String Extension; Term Filtration;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2010 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-8626-7
Electronic_ISBN :
978-0-7695-4258-4
DOI :
10.1109/MINES.2010.63
