基于描述逻辑本体推理的语义级中文校对方法
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摘要
近年来中文校对技术虽然在字词级和语法级层面取得了较好效果,但是对于语义级层面研究相对薄弱,目前相关研究都有一定局限性.提出利用本体技术将中文文本中的语义内容提取出来转换为结构化本体,再与正确的领域背景本体库融合,通过描述逻辑推理机来判断提取的语义内容的逻辑一致性,并将检测出的逻辑一致性错误映射为中文语义错误.此方法在政治敏感错误等领域进行了测试,与其他相关研究相比,具有语义查错的透明性、语义模型的完整性、语义推理的智能型等优势.
In recent years, the Chinese proofreading technology has achieved good results at the word-level and the grammar-level, while it's relatively weak at the semantic level. This paper provides a new method of Chinese proofreading powered by the ontology technology. The semantic contents are firstly extracted from the Chinese texts and transformed into some kind of structured ontology, which is combined with the correct background ontology. The logical consistency of the extracted semantic content is determined by description logic reasoning machine, with the detected logical consistency error mapped into some Chinese semantic errors. This method is tested in the domain of political sensitive information. Compared with other methods, it has obvious advantages of the transparency of the semantic proofreading, the integrity of the semantic model and the intelligence of the semantic reasoning.
In recent years, the Chinese proofreading technology has achieved good results at the word-level and the grammar-level, while it's relatively weak at the semantic level. This paper provides a new method of Chinese proofreading powered by the ontology technology. The semantic contents are firstly extracted from the Chinese texts and transformed into some kind of structured ontology, which is combined with the correct background ontology. The logical consistency of the extracted semantic content is determined by description logic reasoning machine, with the detected logical consistency error mapped into some Chinese semantic errors. This method is tested in the domain of political sensitive information. Compared with other methods, it has obvious advantages of the transparency of the semantic proofreading, the integrity of the semantic model and the intelligence of the semantic reasoning.
引文
1吴明.最新版黑马校对软件在新闻出版单位使用.http://data.chinaxwcb.com/epaper/2011/2011-06-20/11589.html.[2015-12-18].
2 吴林,张仰森.基于知识库的多层级中文文本查错推理模型.计算机工程,2012,20:21–25.
3 骆卫华,罗振声,龚小谨.中文文本自动校对的语义级查错研究.计算机工程与应用,2003,12:115–118.
4 郑逢斌,陈志国,姜保庆等.语义校对系统中的句子语义骨架模糊匹配算法.电子学报,2003,8:1130–1140.
5 程显毅,孙萍,朱倩.基于HNC的中文文本校对系统模型的研究.微电子学与计算机,2009,10:49–52.
6 张仰森,俞士汶.文本自动校对技术研究综述.计算机应用研究,2006,6:8–12.
7 Olsen KA.A smart proofreader for all natural languages:Achieving semantic understanding by majority vote.ISRN Artificial Intelligence,2012:1–6.
8 史燕,程显毅,杨天明,等.知网、HNC和框架网的语义知识表示异同.广西师范大学学报(自然科学版),2009,1:173–176.
9 郭充,张仰森.基于《知网》义原搭配的中文文本语义级自动查错研究.计算机工程与设计,2010,17:3924–3928.
10 Cuenca Grau B,Horrocks I,Motik B,et al.OWL 2:The next step for OWL.Journal of Web Semantics,2008,6(4):309–322.
11 Jiang Y,Dong H,Xiong H.Onto LTCn:A chinese text oriented semi-auto ontology knowledge discovery tool.Proc.of International Conference on Computer Science and Software Engineering(CSSE 2008)Volume 6.Los Alamitos.IEEE Computer Society.2008.18–22.
12 姜赢,曾杰,林启红,郭颖珊,廖文生.Language Tool中文本语法校对XML规则定制方法.图书情报工作,2014,(3):86–91.
2 吴林,张仰森.基于知识库的多层级中文文本查错推理模型.计算机工程,2012,20:21–25.
3 骆卫华,罗振声,龚小谨.中文文本自动校对的语义级查错研究.计算机工程与应用,2003,12:115–118.
4 郑逢斌,陈志国,姜保庆等.语义校对系统中的句子语义骨架模糊匹配算法.电子学报,2003,8:1130–1140.
5 程显毅,孙萍,朱倩.基于HNC的中文文本校对系统模型的研究.微电子学与计算机,2009,10:49–52.
6 张仰森,俞士汶.文本自动校对技术研究综述.计算机应用研究,2006,6:8–12.
7 Olsen KA.A smart proofreader for all natural languages:Achieving semantic understanding by majority vote.ISRN Artificial Intelligence,2012:1–6.
8 史燕,程显毅,杨天明,等.知网、HNC和框架网的语义知识表示异同.广西师范大学学报(自然科学版),2009,1:173–176.
9 郭充,张仰森.基于《知网》义原搭配的中文文本语义级自动查错研究.计算机工程与设计,2010,17:3924–3928.
10 Cuenca Grau B,Horrocks I,Motik B,et al.OWL 2:The next step for OWL.Journal of Web Semantics,2008,6(4):309–322.
11 Jiang Y,Dong H,Xiong H.Onto LTCn:A chinese text oriented semi-auto ontology knowledge discovery tool.Proc.of International Conference on Computer Science and Software Engineering(CSSE 2008)Volume 6.Los Alamitos.IEEE Computer Society.2008.18–22.
12 姜赢,曾杰,林启红,郭颖珊,廖文生.Language Tool中文本语法校对XML规则定制方法.图书情报工作,2014,(3):86–91.