张志申,王会勇,张晓明,艾青,孟明明

• 1:河北科技大学信息科学与工程学院

摘要(Abstract)：

关联开放数据(LOD)中蕴藏着大量不同领域的知识,但是目前抽取其中特定领域知识的方法大多需要人工参与。为了能自动地抽取领域知识,提出根据领域本体抽取DBpedia中特定领域知识的方法。使用领域本体、Wikipedia和主题提取算法获得用于抽取领域知识的种子关键词集。在直接链接子图语义距离算法中,添加能够代表边指向性权值的参数,用于领域知识的抽取,并基于本体和字符串相似度比较的筛选策略对抽取的知识进行筛选。通过实验表明,该方法不仅能够获得较好的抽取效果,而且不需要人为地挑选关键词和参与筛选过程,极大地节省了时间和精力。

关键词(KeyWords)： DBpedia;领域本体;直接链接子图语义距离算法;知识抽取;抽取策略;筛选

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(51271033);国家自然科学基金(71271076);; 河北省自然科学基金(F2018208116);; 河北省科技计划(16210312D);; 河北省高等学校科学技术研究项目(QN2015207)~~

作者(Author): 张志申,王会勇,张晓明,艾青,孟明明

DOI: 10.16652/j.issn.1004-373x.2018.13.029

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