【摘要】 本文提出了基于本体驱动的法律信息检索模型,以解决当前Web信息检索中存在的问题。本文运用到了数据挖掘中的关联规则,并借鉴"七步法"来构建信息检索模型,构建步骤包括文档预处理、构建领域本体、过滤、构造人机接口等。向用户提供基于法律本体的概念查询、语义扩充查询、分类浏览等检索手段。该模型能够改善用户查准率和查全率,实现对该领域资源的智能化检索。更多还原

【Abstract】 In this paper,a model for ontology-driven Legal Information Retrieval(LIR)is designed to solve the problem existing in the current time.A kind of Mining Association Rules is used in this model.And the information retrieval model refers to "seven steps" as well.The steps includes how to deal with the document pretreatment,how to build the domain ontology,how to filters and how to construct man-machine interface and so on.Concept query,expanded semantic query and sort query are provided based on legal ontology.We are sure that the model can greatly improve the precision and the recall,and achieve the goal of intelligent retrieval in this domain as well.更多还原