期刊文献+

网络科技资源平台中元数据的设计与实现 被引量:3

Design and implementation of resources' presentation platform based on metadata
下载PDF
导出
摘要 网络科技资源具有地理分布广、异构、不规范、海量的特点,为了高效地查找和使用网络科技资源,提出了元数据技术来实现网络科技资源的统一组织和表示。使用基于正则表达式的元数据信息提取模型,有效地从数量巨大的Web页面中提取元数据信息。并基于轻量级目录访问协议LDAP(Lightweight Directory Access Protocol)的目录服务机制实现了科技资源元数据的存储和访问,测试表明其具有良好的可行性和有效性。 In order to search and utitize net based science and technology resources,which are broadly distributed,hybrid, irregular,massive,with high efficiency.the technology of metadata,which is utilized to organize and represent the resources in a unified way,is presented.Using metadata information extraction model based on regular expressions, metadata can be extracted from a huge number of Web pages.Directory service mechanism based on LDAP (Lightweight Directory Access Protocol) is used for science and technology metadata storage and accessing,and this method performs feasibly and effectively.
出处 《计算机工程与应用》 CSCD 北大核心 2009年第25期141-144,共4页 Computer Engineering and Applications
基金 国家科技基础条件平台建设项目(No.2005DKA63904)
关键词 网络科技资源 元数据 元数据提取 轻量级目录访问协议(LDAP) net based science and technological resources metadata metadata extraction Light weight Directory Access Protocol (LDAP)
  • 相关文献

参考文献4

  • 1Ashishn,Knoblock C.Wrapper generation for semi-structured Internet sources[J].SIGMOD Record, 1997,26(4) : 8-15.
  • 2Soderland S.Learning to extract text-based information from the World Wide Web [C]//Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining,1997:251-254.
  • 3Ricardo B Y,Berthier R N.Modem information retrievai[M].Beijing: China Machine Press,2004:430-431.
  • 4高玉珠,刘瑞.基于Web信息组织模型的元数据检索技术[J].计算机应用,2006,26(B06):89-90. 被引量:2

二级参考文献6

  • 1ADELBERG B.NoDOSE -A tool for semi-automatically extracting structured and semi-structured data from text documents[A].Proceedings of SIGMOD'98[C].Seattle,Washington,USA:ACM Press,1998.283-294.
  • 2SODERLAND S.Learning to extract text-based information from the World Wide Web[A].Proceedings of 3rd International Conference on Knowledge Discovery and Data Mining[C].1997.251 -254.
  • 3SMITH D,LOPEZ M.Information extraction for semi-structured documents[A].Proceedings of 1 st Workshop on Management of Semistructured Data[C].Arizona,1997.
  • 4ASHISH N,KNOBLOCK C.Wrapper generation for semi-structured Internet sources[J].SIGMOD Record,1997,26(4):8-15.
  • 5MUSLFA I.Extraction patterns for information extraction tasks:A survey[A].Proceedings of Workshop on Machine Learning and Information Extraction[C].Orlando,Florida,1999.
  • 6FRETTAG D.Machine learning for information extraction in informal domains[J].Machine Learning in press,2000,39:169 -202.

共引文献1

同被引文献16

  • 1徐财江,陈和平,陈志荣.土地利用现状数据元数据管理系统的设计与实现.2006年中国土地学会学术年会论文集,2006:707-713.
  • 2Matthias Klusch, Benedikt Fries and PKatia Sycara. Automated semantic web service discovery with OWLS - MX [ A ]. Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems [C]. Hakodate, Japan, 2006.
  • 3F Banaei - Kashani, C - C Chen, C Shahabi. Wspds: Web services peer - to - peer discovery service [A]. In Proceedings of International Symposium on Web Services and Applications (ISWS) [ C ]. 2004.
  • 4NISO Press.Understanding Metadata[EB/OL].2004.http://www.niso.org/standards/UnderstandingMetadata.pdf.
  • 5Widener P,Schwan K,Eisenhauer G.Open Metadata Formats:Efficient XML-Based Communication for Heterogeneous Distributed Systems[C] ∥21st IEEE International Conference on Distributed Computing System.Mesa:[s.n.] ,2001:739-742.
  • 6The extensible markup language (XML)[EB/OL].1998.http://www.w3.org/TR/1998/REC-xml-19980210.
  • 7陈江锋.语义描述的服务资源发现机制研究[J].北京理工大学学报,2008,28(11):983-987. 被引量:4
  • 8刘紫玉,黄磊.高速铁路领域本体构建方法研究[J].情报学报,2009,28(2):195-200. 被引量:11
  • 9何清林,杨森,徐泽同.基于元数据和Web Service中间件的分布式资源库集成[J].计算机工程与设计,2009,30(9):2201-2204. 被引量:17
  • 10蔡昭权,卢庆武,郑宗晖,罗伟.基于元数据的快速开发平台设计与实现[J].计算机工程,2009,35(9):60-62. 被引量:12

引证文献3

二级引证文献5

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