使用倒排索引优化面向组合的语义服务发现
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

Supported by the National Natural Science Foundation of China under Grant Nos.60603025, 60503018 (国家自然科学基金); the National High-Tech Research and Development Plan of China under Grant No.2006AA01Z171 (国家高技术研究发展计划(863)); the National Key Technology R&D Program of China under Grant No.2006BAH02A01 (国家科技支撑计划); the Natural Science Foundation of Zhejiang Province of China under Grant No.Y105463 (浙江省自然科学基金)


Using Inverted Indexing to Facilitate Composition-Oriented Semantic Service Discovery
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    提出为服务库中所有注册服务的输出建立倒排索引,以快速、准确、高效地发现目标服务.即为每个输出维护一个服务列表,用于记录在该服务库中所有能够产生该输出的服务.基于倒排索引机制,提出面向组合的服务发现算法.该方法利用倒排索引的优势,极大地减少了搜索空间,并通过挖掘服务组合提高服务发现的查全率.仿真实验表明,该方法能够在大规模服务库中快速、全面地响应用户请求.

    Abstract:

    It is proposed to establish inverted indexing for ontology-annotated outputs when services are registered in order to find the target services in a quick, accurate and efficient way. For each ontology-annotated output, there is a service list which records all the services in the registry that deliver the output. Based on the indexing, a composition-oriented service discovery algorithm is proposed, which greatly accelerates the filtering of irrelevant atomic services by making use of the inverted indexing, and increases the likelihood of finding a possible candidate by exploring service composition. The results of the extensive experiments show that the proposed algorithm provides better performance on response time than the sequential matchmaking, and better recall rate than the algorithms without the exploration of composition.

    参考文献
    相似文献
    引证文献
引用本文

邝砾,邓水光,李莹,吴健,吴朝晖.使用倒排索引优化面向组合的语义服务发现.软件学报,2007,18(8):1911-1921

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2007-03-01
  • 最后修改日期:2007-04-26
  • 录用日期:
  • 在线发布日期:
  • 出版日期:
您是第位访问者
版权所有:中国科学院软件研究所 京ICP备05046678号-3
地址:北京市海淀区中关村南四街4号,邮政编码:100190
电话:010-62562563 传真:010-62562533 Email:jos@iscas.ac.cn
技术支持:北京勤云科技发展有限公司

京公网安备 11040202500063号