QQ客服 官方微博 反馈留言

	CoWS: An internet-enriched and quality-aware Web services search engine
	Li, Meng ; Zhao, Junfeng ; Wang, Lijie ; Cai, Sibo ; Xie, Bing
	2011
英文摘要	With more and more Web services available on the Internet, many approaches have been proposed to help users discover and select desired services. However, existing approaches heavily rely on the information in UDDI repositories or WSDL files, which is quite limited in fact. The limitation of information weakens the effectiveness of existing approaches. In this paper, we present a novel Web services search engine named CoWS, which enriches Web services information using the information captured from the Internet to provide quality-aware Web services search. The information captured can be classified into two groups: functional descriptions and subjective feedbacks. We use the functional descriptions to enrich descriptions of Web services and the subjective feedbacks to calculate Web services' reputation. CoWS first ranks the services according to their functional similarities to a user's query, which are calculated using both descriptions in WSDL files and the enriched descriptions, and then refines and re-ranks the services with both objective quality constraints (QoS) and subjective quality constraints (reputation). The experiments on a large-scale dataset (including 31,129 Web services) show that CoWS can improve the effectiveness of both Web services discovery and selection comparing with existing approaches. ? 2011 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/ICWS.2011.49
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/328719]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, Meng,Zhao, Junfeng,Wang, Lijie,et al. CoWS: An internet-enriched and quality-aware Web services search engine. 2011-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。