面向Web信息的知识融合模型

N. Xie, C. Cao, H. Guo
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引用次数: 14

摘要

万维网是由蒂姆·伯纳斯-李设计的一个信息空间,其目标不仅是供人类阅读,而且是让机器能够参与并帮助用户相互交流。Web信息集成只能将他们从查找相关数据源的繁琐任务中解放出来。但是大多数现有的系统并没有真正整合信息。更深层次的信息集成,即知识融合(knowledge fusion, KF),不仅包括将可用的信息通过链接传递给用户,还包括对来自信息源的信息结果进行分析和合并,包括解决结果一致性、去除重复项等。本文给出了一个形式化的XML数据知识融合模型和基于kf的信息访问体系结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A knowledge fusion model for Web information
The Web was designed as an information space by Tim Berners-Lee, with the goal not only that it should be available for human reading, but also that machine would be able to participate in and help users to communicate with each other. Web information integration can only free them from the tedious tasks of finding the relevant data sources. But the most existing systems do not really integrate information. Deeper information integration, or knowledge fusion (KF), involves not only delivering the information available via the links to user, but also analyzing, and merging the information results coming from information sources by solving the result consistencies, removing duplicates, etc. In the paper, we give a formal model for knowledge fusion for XML data and the KF-based information access architecture.
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