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2015年我国最高人民法院规定指导性案例应当作为裁判理由引用,这使得法律检索,特别是案例检索,在当前显得尤为迫切。关键字匹配查询存在语义识别能力较差、信息之间缺乏语意关联的弊病,而法律本体检索因具有良好的概念层次结构,支持逻辑推理,能够消除语义歧义和挖掘语义信息而受到广泛地关注。然而,较少的法律本体检索模型在实践中被付诸实践,除了技术的原因之外,还与法律本身的模糊性等有关。我们提出了一种案例与法律规范相互作用的法律本体检索结构,采用中科院的ICTCLAS汉语语义识别系统;以医疗纠纷中的精神损害赔偿为例,建立了法律本体检索模型。文中我们讨论了法律文本本体结构、案例本体结构的基本要素,并探讨了法律文本相关性和案例相似性的确定。
In 2015, China’s Supreme People’s Court stipulated that guiding cases should be cited as referee grounds, which made legal search, especially case retrieval, particularly urgent at present. Keyword matching query has poor ability of semantic recognition and lack of semantic association between information. However, the retrieval of legal ontology has drawn extensive attention due to its good conceptual hierarchy, support for logical reasoning, elimination of semantic ambiguity and mining of semantic information. However, fewer models of legal ontology retrieval are put into practice in practice, besides technical reasons, but also related to the ambiguity of the law itself. We propose a legal ontology retrieval structure that interacts with the legal norms and adopts the ICTCLAS Chinese Semantic Recognition System of the Chinese Academy of Sciences. Taking the compensation of mental damages in medical disputes as an example, a legal ontology retrieval model is established. In this paper, we discuss the basic elements of legal text ontology structure and case ontology structure, and discuss the correlation between legal texts and the determination of the similarity of cases.