CAJ | 학술논문

本体分为轻量级本体和重量级本体，轻量级本体主要由术语、概念、分类关系构成。在轻量级本体的基础上添加非分类关系和公理构成重量级本体。前者侧重于知识结构表达而缺乏语义和逻辑推理功能，后者具有较强的语义和逻辑推理功能，更适合信息的语义处理和新知识的发现。论文按照逆反公理和对称公理的语言模式构造原有非分类关系的模式，然后利用轻量级本体对生成的模式进行扩展，同时结合使用统计学中共现值的方法，最终达到抽取农业病虫害领域的公理。抽取公理中模式的扩展利用了轻量级本体，提高了公理抽取的效果。此外，论文将公理抽取的方法应用于中文领域，抽取中文语料的逆反公理和对称公理。
본체분위경량급본체화중량급본체，경량급본체주요유술어、개념、분류관계구성。재경량급본체적기출상첨가비분류관계화공리구성중량급본체。전자측중우지식결구표체이결핍어의화라집추리공능，후자구유교강적어의화라집추리공능，경괄합신식적어의처리화신지식적발현。논문안조역반공리화대칭공리적어언모식구조원유비분류관계적모식，연후이용경량급본체대생성적모식진행확전，동시결합사용통계학중공현치적방법，최종체도추취농업병충해영역적공리。추취공리중모식적확전이용료경량급본체，제고료공리추취적효과。차외，논문장공리추취적방법응용우중문영역，추취중문어료적역반공리화대칭공리。
Ontology is divided into lightweight and heavyweight ontology ,lightweight ontology consists of terminolo‐gy ,concepts and classification of relationships .Heavyweight ontology is constituted by adding non‐taxonomic relationship and axiom on the basis of a lightweight ontology .The former focuses on the knowledge structure of expression ,but the lat‐ter has stronger semantic and logical reasoning function ,which is more suitable for the semantic processing of information and the discovery of new knowledge .According to the reverse and symmetric axiom of language schema ,the original non‐taxonomic relationship model is constructed ,and then extends of the generated model by using a lightweight ontology .At the same time ,combined with the party’s present value method of statistics ,this approach extracts axioms in the field of agricul‐tural plant diseases and insect pests ,and only improves the efficiency of axiom ,but has been applied in the field of Chinese Language to extract of the reverse axiom and symmetric axiom .