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基于FCA和关联规则的情报学本体构建
引用本文:刘萍,胡月红.基于FCA和关联规则的情报学本体构建[J].现代图书情报技术,2012(2):34-40.
作者姓名:刘萍  胡月红
作者单位:武汉大学信息资源研究中心
基金项目:教育部人文社会科学研究青年基金项目“高校专家知识地图构建研究”(项目编号:10YJC870022)的研究成果之一
摘    要:提出一种新的领域本体学习方法,结合形式概念分析(FCA)与关联规则挖掘从非结构化文本中获取情报学本体。该方法从文本集中通过种子-扩展机制的方法获取领域核心概念,构建文档概念格(文档×关键词矩阵),在此基础上通过形式概念分析方法来识别概念之间的等级关系,通过关联规则挖掘概念间的相关关系。最后,采用基于"黄金标准"的方法对本体学习的结果进行评价,结果表明:通过这种方法构建的本体可以达到较高的领域知识覆盖率,而且能够识别概念之间部分隐含的关系,从而验证该方法在领域本体的构建中实用且有效。

关 键 词:本体构建  情报学  FCA  关联规则

Development of Domain Ontology in Information Science Based on FCA and Association Rules
Liu Ping Hu Yuehong.Development of Domain Ontology in Information Science Based on FCA and Association Rules[J].New Technology of Library and Information Service,2012(2):34-40.
Authors:Liu Ping Hu Yuehong
Institution:Liu Ping Hu Yuehong(Center for Studies of Information Resources,Wuhan University,Wuhan 430072,China)
Abstract:This paper presents a new approach to Ontology learning in the domain of information science.A combination of Formal Concept Analysis(FCA) and association rules is used to facilitate Ontology construction from unstructured text.This approach acquires key concepts from documents by using a seeding and expansion mechanism;formulates(key concept by document) context for concept lattice construction,and bootstraps the learning of domain-specific concept hierarchies using FCA;extracts the relationships between the concepts via association rules.To evaluate the quality of the learned Ontology,a comparison with "Golden Standard" is undertaken,and the evaluation results illustrate that it can reach high domain coverage and identify some implicit relations between concepts.It is concluded that the proposed method is practical and useful to support the process of building domain Ontology.
Keywords:Ontology development Information science FCA Association rule
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