摘要
针对快速发现用户适合度较高的Web服务问题,提出了一种基于用户情境聚类的Web服务发现方法。将聚类与倒排索引技术融入Web服务发现算法,利用BIRCH聚类思想进行用户情境聚类,有效地缩小了Web服务的查找范围,而倒排索引技术则能够快速定位服务,进一步优化了Web服务发现的时间。结合实例和实验,并与其他Web服务发现方法进行比较,结果表明了该方法的服务发现结果和时间效率均优于其他方法。
Abstract ： Aiming at the problems of the web services discovery for users more efficiently and suitably. A method of web services discovery based on the clustering of users＇ context information is proposed. This method combined clustering and inverted index technique with the algorithm of web services discovery. The clustering of users＇ context information is used to greatly reduce re trieval range of web services, and inverted index technique could improve the time of web services discovery further by finding the web services quickly. The case study and experiment, which is compared to other web services methods, indicates that this method is better than several other methods both in time rate and result of web services discovery.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第4期1442-1446,共5页
Computer Engineering and Design
基金
山西省自然科学基金项目(2009011022-1)
