Scalable Document Fingerprinting ( Extended Abstract )
Scalable Document Fingerprinting ( Extended Abstract )
复制标题
可扩展文档指纹（扩展摘要）
DOI：
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
HeintzeBell
中科院分区：
文献类型：
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作者：
Nevin;HeintzeBell
随着越来越多的信息变得电子化，基于文本相似性的文档搜索变得越来越重要，不仅用于在线查找文档，而且用于解决互联网上的旧问题，如剽窃和侵犯版权。本文介绍了一个在线系统，提供可靠的搜索结果，使用适度的资源和规模高达百万文档的顺序的数据集。我们的系统提供了一个实际的存储要求之间的妥协，免疫噪声引入的文件转换和剽窃应用程序的安全需求。我们提出了定量分析和实证结果证明我们的设计是可行的和有效的。基于Web的原型系统可以通过URL访问
As more information becomes available electronically, document search based on textual similarity is becoming increasingly important, not only for locating documents online, but also for addressing internet variants of old problems such as plagiarism and copyright violation. This paper presents an online system that provides reliable search results using modest resources and scales up to data sets of the order of a million documents. Our system provides a practical compromise between storage requirements, immunity to noise introduced by document conversion and security needs for plagiarism applications. We present both quantitative analysis and empirical results to argue that our design is feasible and eeective. A web-based prototype system is accessible via the URL