基于本体知识的语义文本摘要方法

Dr.A.Mekala
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引用次数: 0

摘要

数据挖掘是一种从大量数据中发现有用模式的方法。随着大量信息的快速产生,有效的信息访问成为一件重要的事情。特别是对于重要的领域,如健康检查和货币领域,非常需要对简洁和相关的信息进行有组织的恢复。本文提出了一种新的基于用户查询的文本摘要技术,该技术利用了来自普林斯顿大学的常用信息源WordNet。我们的摘要结构被明确地调整为概括医疗保健文件。
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A Semantic Text Summarization Method using ontology based Knowledge
Data mining is a method which finds useful patterns from large amount of data. As vast amounts of information are created quickly, effective information access becomes an important matter. Particularly for important domains, such as health check and monetary areas, well-organized recovery of succinct and related information is highly desired. In this paper we propose a new user query based text summarization technique that makes use of WordNet, a common information source from Princeton University. Our summarization structure is expressly tuned to recapitulate health care documents.
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