用计算机进行算法审计,频率相似度算法在审计规则库中的应用-计算机工程与应用.PDF...

154 2012 ，48 (28 ) Computer Engineering and Applications 计算机工程与应用

频率相似度算法在审计规则库中的应用

1 1 2 2

谢岳山 ，樊晓平 ，廖志芳 ，邱丽霞

1 1 2 2

XIE Yueshan , FAN Xiaoping , LIAO Zhifang , QIU Lixia

1.中南大学 信息科学与工程学院，长沙 410075

2.中南大学 软件学院，长沙 410002

1.College of Information Science and Engineering, Central South University, Changsha 410075, China

2.College of Software, Central South University, Changsha 410002, China

XIE Yueshan, FAN Xiaoping, LIAO Zhifang, et al. Application of frequency similarity algorithm in audit

rulebase. Computer Engineering and Applications, 2012, 48 (28 )：154-158.

Abstract ：As sentence semantic similarity algorithms based on HowNet ignore the weight that different words have

different contribution to the sentence similarity value, the similarity result is not reasonable based on these algo-

rithms. In order to solve this problem, the paper improves the traditional semantic similarity algorithm by adding a

frequent function of words in corpus as a weight factor into the final sentence semantic similarity algorithm, this

function can decrease the proportion that high frequence words devote to high sentence similarity value and improve

the accuracy. In aspect of algorithm application, it is known that audit methods summarized by auditing administra-

tion are always reduplicated and not clear, in order to reuse these audit methods, this paper builds an audit rule base

according to the audit methods. On this basis, it adopts the improved semantic similarity algorithm to calculate the

similarity value between user input and rules in audit rule base. It will return the corresponding audit methods of the

audit rules whose similarity value satisfy the given threshold, auditors can pick the most appropriate audit method to

audit the programme. The application shows the algorithm improves the audit efficiency.

Key words ：semantic