Automatic Term Extraction in Cryptology Based on Extension of Central String

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.