Semantic Association Identification and Knowledge Discovery for Business Applications

摘要：

Public and private organizations have access to vast amount of internal,deep Web and Open Web information.Transforming this heterogeneous and distributed information into actionable and insightful information is the key to the emerging new class of business intelligence.In this paper we discussed semantic approaches to support analytics on vast amount of heterogeneous data.A prototypical demonstration of this research and technology is presented in the context of an aviation security application.

关键词： Semantic Web technology semantic analytics semantic association content analytics ontology RDF

作者: XIANG Peisu TIAN Ke HUANG Qinzhen

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 480-483

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）