中文文本信息知识发现的相关技术研究——基于领域本体和语块分析的语义信息抽取研究

中文文本信息知识发现的相关技术研究——基于领域本体和语块分析的语义信息抽取研究
随着计算机的普及和网络的发展，电子信息数量急剧增长，人们迫切地需要一些自动化的技术帮助他们在海量信息中迅速找到自己真正需要的信息，而信息抽取正是解决这个问题的一种信息处理方法。
信息抽取是自然语言处理技术的一个具体研究方向，它从文本中抽取用户感兴趣的事件、实体和关系，被抽取出来的信息以结构化的形式描述，然后存储在数据库中，供信息查询、文本深层挖掘、自动问答系统等各种应用提供服务，为人们提供有力的信息获取工具。
本文首先简单介绍了信息抽取技术，然后提出了一种基于领域本体和语块分析的语义信息抽取方法，并对中文信息抽取的关键技术：汉语切词、命名实体识别、语块分析等进行了深入的分析和研究，提出了新的方法并利用程序加以实现。

关键词 ： 信息抽取   领域本体   语块分析    JAVA
Title    Information Extraction Research Which is Based On

           Ontology and Chunk Parsing                      

Abstract
With the popularity of computer and the network's development, the number of electronic information is growing rapidly. People urgently need some automatic technology to help them find the information which they need from the mass of information quickly, and Information Extraction is a kind of information approach to this problem.
Information Extraction is a specific direction of Natural Language Processing. It gets information, entities and relations which interest users from the text. The extracted information was structured in the form
of description, and then stored in a database for a variety of applications, such as Information Retrieval, Knowledge Mining, Automatic Answering. And it also provides a powerful tool to obtain information for people.
This paper briefly introduces the Information Extraction technology, and then provides a new approach of Information Extraction Research which is based on Ontology and Chunk Parsing. Studied the key of Chinese Information Extraction Technology: cutting words, named entity recognition, chunk parsing, and then projected them by Java.

Keywords： Information Extraction     Ontology    Chunk Parsing   JAVA

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