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  • 标题:Metadata: Towards Machine-Enabled Intelligence
  • 本地全文:下载
  • 作者:Vandana Dhingra ; Komal Kumar Bhatia
  • 期刊名称:International Journal of Web & Semantic Technology
  • 印刷版ISSN:0976-2280
  • 电子版ISSN:0975-9026
  • 出版年度:2012
  • 卷号:3
  • 期号:3
  • DOI:10.5121/ijwest.2012.3308
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:World Wide Web has revolutionized the means of data availability, but with its current structure model , it is becoming increasingly difficult to retrieve relevant information, with reasonable precision and recall, using the major search engines. However, with use of metadata, combined with the use of improved searching techniques, helps to enhance relevant information retrieval .The design of structured, descriptions of Web resources enables greater search precision and a more accurate relevance ranking of retrieved information .One such efforts towards standardization is , Dublin Core standard, which has been developed as Metadata Standard and also other standards which enhances retrieval of a wide range of information resources. This paper discuses the importance of metadata, various metadata schemas and elements, and the need of standardization of Metadata. This paper further discusses how the metadata can be generated using various tools which assist intelligent agents for efficient retrieval.
  • 关键词:Semantic web; Intelligent retrieval; FOAF; RDF; Metadata Schema & Dublin Core
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