期刊文献+

利用聚类优化语义Web服务发现 被引量:4

Semantic Web service discovery with clustering
下载PDF
导出
摘要 针对传统Web服务缺乏语义造成注册中心返回结果不精确的问题,提出了一种用OWL-S提供语义支持,并据语义相似度将Web服务聚类的解决方法。该方法应用OWL-S实现Web服务的语义描述,采用凝聚的层次聚类的Single-Link算法将相似Web服务聚类,快速定位并返回最合适的服务,提高了服务发现的精确性。 To solve the problem that the search results returned by the UDDI registry are effectively inadequate because of the lack of Semantic descriptions of the Web services,this paper proposes the method that provides semantic support with OWL-S and clusters similar Web services to improve the service discovery.The method realizes semantic Web services description with OWL-S and adopts the single linage algorithm of cohesive hierarchical agglomerative clustering method to cluster similar Web services and locate and return the most suitable service effectively.The experiment results show the improvement in Web service discovery.
出处 《计算机工程与应用》 CSCD 北大核心 2009年第34期139-143,共5页 Computer Engineering and Applications
基金 国家自然科学基金No.60403043~~
关键词 基于OWL语言的Web服务本体(OWL-S) 统一描述 发现和集成(UDDI) 聚类 语义WEB Ontology Web Language for Services (OWL-S) Universal Description, Discovery and Integration ( UDDI ) clustering semantic Web
  • 相关文献

参考文献16

  • 1W3C Member.OWL-S:Semantic markup for Web services[EB/OL]. ( 2004-11-22 ).http ://www.w3.org/Submission/OWL-S.
  • 2贺玲,吴玲达,蔡益朝.数据挖掘中的聚类算法综述[J].计算机应用研究,2007,24(1):10-13. 被引量:222
  • 3Staab E.Single-Linkage clustering[EB/OL].http://www.hugeateas.de/ uni/eugen_staab-hierarchical-clustering.ppt.
  • 4沈玮韡,蔡鸿明,姜丽红.一种基于语义Web服务的服务自动发现的实现[J].计算机工程,2006,32(18):211-213. 被引量:11
  • 5Gupta C,Bhowmik R,Head M R,et al.lmproving performance of Web services query matchmaking with automated knowledge acquistion[C]//Proceeding of IEEE/WIC/ACM International Conference Intelligent Agent Technology,Sition Valley,California,USA, 2007 : 559-563.
  • 6Nayak R,Lee B.Web service discovery with additional semantics and clustering[C]//Proceeding of IEEE/WIC/ACM International Conference on Intelligent Agent Technology,Silion Valley,California, USA, 2007 : 555-558.
  • 7Paolucci M,Srinivasan N,Sycara K,et al.WSDL2OWL-S [EB/OL]. http://www.daml.ri.cmu.edu/wsdl2owls/.
  • 8Miller G A.WordNet:A lexical database for the English language [C]// Comm ACM,1998.
  • 9Anderberg M R.Clustering analysis for applications[M].London: Academic Press, 1973 : 359.
  • 10Nayak R.Facilitating and improving the use of Web services with data mining[M]//Taniar D.Research and Trends in Data Mining Technologies and Application,2007:309-327.

二级参考文献35

  • 1史忠植,蒋运承,张海俊,董明楷.基于描述逻辑的主体服务匹配[J].计算机学报,2004,27(5):625-635. 被引量:62
  • 2马应龙,金蓓弘,冯玉琳.基于进化分布式本体的语义Web服务动态发现[J].计算机学报,2005,28(4):603-614. 被引量:14
  • 3Li Lei,Horrocks I.A Software Framework for Matchmaking Based on Semantic WebTechnology[C].Proceedings of International WWW Conference,Budapest,Hungary,2003.
  • 4OWL-S 1.1 Specification White Paper[EB/OL].http://www.daml.org.
  • 5Massimo P,Terry R P.Semantic Matching of Web Service Capabilities[C].Proceedings ofInternational Semantic Web Conference,Sardinia,Italy,2003.
  • 6Guha S,Rastogi R,Shim K.CURE:An Efficient Clustering Algorithm for Large Databases[C].Seattle:Proceedings of the ACM SIGMOD Conference,1998.73-84.
  • 7Guha S,Rastogi R,Shim K.ROCK:A Robust Clustering Algorithm for Categorical Attributes[C].Sydney:Proceedings of the 15th ICDE,1999.512-521.
  • 8Karypis G,Han E-H,Kumar V.CHAMELEON:A Hierarchical Clustering Algorithm Using Dynamic Modeling[J].IEEE Computer,1999,32(8):68-75.
  • 9Ester M,Kriegel H-P,Sander J,et al.A Density-based Algorithm for Discovering Clusters in Large Spatial Databases with Noise[C].Portland:Proceedings of the 2nd ACM SIGKDD,1996.226-231.
  • 10Hinneburg A,Keim D.An Efficient Approach to Clustering Large Multimedia Databases with Noise[C].New York:Proceedings of the 4th ACM SIGKDD,1998.58-65.

共引文献231

同被引文献39

引证文献4

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部