| 利用词语共现进行Ontology的概念获取 |
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| 引用本文： | 耿骞,耿崇.利用词语共现进行Ontology的概念获取[J].现代图书情报技术,2006(2):43-45,49. |
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| 作者姓名： | 耿骞 耿崇 |
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| 作者单位： | 北京师范大学管理学院,北京,100875 |
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| 摘 要： | 作为大规模的语义知识资源库，Ontology在信息处理中具有重要的作用。但是，如何有效地构建Ontology却是一个重要的问题。对于自动构建Ontology的过程来说，首要的问题就是如何获取领域概念。本文尝试了一种利用词语共现获取领域概念的方法，用于支持领域Ontology的构建。该方法首先通过人工领域分析，获得起始领域概念，然后利用起始概念从语料库中抽取共现的概念，从而获取相关的概念知识。同时，本文以1998年1月份的人民日报语料库为语料，针对外交和体育两个领域，尝试从中提取相关的概念，从而检验利用词语共现获取领域概念的实际效果。
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| 关 键 词： | 词语共现 概念提取 本体构建 |
| 收稿时间： | 2005-10-27 |
| 修稿时间： | 2005-10-27 |
Concept Extraction in Automatic Ontology Construction Using Words Co-occurrence |
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| Geng Qian,Geng Chong.Concept Extraction in Automatic Ontology Construction Using Words Co-occurrence[J].New Technology of Library and Information Service,2006(2):43-45,49. |
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| Authors: | Geng Qian Geng Chong |
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| Institution: | School of Management, Bering Normal University, Beijing 100875, China |
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| Abstract: | As a large semantic knowledge resource,Ontology plays an important role in information processing.However,how to construct an effective Ontology is an important problem to its application.The first issue in automatic Ontology creation is domain concepts acquisition.In this article we experiment on a method to obtain domain concepts which are based on lexical co-occurrence(and then to support the automatic Ontology construction).The first step of this method is to obtain the primary starting concepts by manual analysis,and then to extract relative co-occurrence concepts from the corpus.Based on the corpus of People's Daily,January 1998,the article focuses especially on the fields of sports and diplomacy.We extract the relative concepts,to examine the practical results of co-occurrence-based domain concepts acquisition. |
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| Keywords: | Lexical co-occurrence Concept extraction Ontology construction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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