基于本体的JESS推理实证研究

发布时间：2018-06-14 08:45

  本文选题：本体构建 + 形式概念分析法　； 参考：《情报科学》2017年05期

【摘要】：【目的/意义】面对海量非结构化的数据,如何快速准确地检索到目标信息,实现相关信息的自动关联,是语义检索和智能推荐的研究重点。【方法/过程】为解决该问题,提出了一种基于本体的JESS推理模型。以目前常用的形式概念分析法(FCA)(应用于知识采集)及描述逻辑(应用于知识表达)为基础进行相关术语和概念的抽取,探讨两者在使用过程中的问题及不协调处,并提出改进方式。在基于LCS原则上,探索新增概念及上下级关联架构。然后利用本体建模工具protégé构建领域本体,建立基于推理引擎JESS的检索查询系统,进行检索。【结果/结论】实证研究表明,该本体模型支持基于语义推理的智能查询,并能提高查全率及查准率。
[Abstract]:[objective / significance] in the face of massive unstructured data, how to retrieve target information quickly and accurately and realize the automatic association of related information is the research focus of semantic retrieval and intelligent recommendation. [method / process] to solve this problem, A Jess reasoning model based on ontology is proposed. Based on the commonly used formal conceptual analysis method (FCAA) and description logic (applied to knowledge representation), the relevant terms and concepts are extracted, and the problems and incongruities between the two methods are discussed. And put forward the way of improvement. Based on the LCS principle, this paper explores the new concept and the upper and lower level relational architecture. Then the domain ontology is constructed by using ontology modeling tool prot 茅 g 茅, and the retrieval query system based on Jess is built. [results / conclusions] empirical research shows that the ontology model supports intelligent query based on semantic reasoning. And can improve the recall and precision.
【作者单位】： 华中师范大学信息管理学院;
【基金】：国家社会科学基金重大项目(13&ZD183);国家社会科学基金青年项目(15CTQ007)
【分类号】：G252.7
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本文编号：2016797