WordNet应用程序编程接口改进方法及其在Mashup服务发现中的应用

Improvement of WordNet application programming interface and its application in Mashup services discovery

传统的WordNet应用程序编程接口(API)在使用时是基于文件操作的,每执行一次API都需要到库文件中查找,因此导致基于API操作的文本分析与相似度计算耗时较为严重。因此,提出一种WordNet API改进方法:将WordNet概念语义网的构造过程移植到内存中,同时增加了若干便于相似度计算的API,使得概念之间关系的追踪进程和文本相似度计算过程得以加快。该方法在Mashup服务发现过程中得以应用,实验证明利用改进后的API能够有效地提高Mashup服务的查询效率和查全率。

The process of using the traditional WordNet Application Programming Interface （API） is based on the file operation, so each execution of API in WordNet library would lead to serious problem of time-consuming in process of text analysis and similarity calculation. Therefore, the improved solution of WordNet API was proposed. The process of constructing semantic net of WordNet concept was transferred into the computer memory; meanwhile several APIs which were convenient to calculate the similarity were added. These improvements would accelerate the process of tracking the relationship of concepts and text similarity calculation. This solution was already applied in the process of Mashup services discovery. The experimental results show that the use of improved API can effectively improve the query efficiency and recall of Mashup service.