基于FCA和Word2vec的异构资源本体构建研究  

Research on Heterogeneous Resource Ontology Construction Based on FCA and Word2vec

作　　者：韦炼 李端明[1] 刘超超[1] 王亚慧[1] 王萝娜 

机构地区：[1]西南科技大学经济管理学院,四川绵阳621010

出　　处：《情报科学》2017年第3期69-75,共7页Information Science

基　　金：四川图书情报研究中心基金项目(SCTQ2016YB12)

摘　　要：【目的/意义】利用海量的非结构化资源,结合结构化资源,构建更加完善的领域本体。【方法/过程】首先运用Word2vec工具发现异构资源中的相关概念,然后进行形式化背景表示以及概念格构建,最后构建领域本体概念模型,并以protégé工具进行可视化表示。【结果/结论】实验结果表明,本文的研究方法能够从大量的异构资源中,获取丰富的领域概念和关系,构建的领域本体语义也更加丰富,能够更好地反映领域的知识结构。【Purpose/significance】To build up a well-developed domain of ontology, abundant unstructured resources shallbe made use of and structured ones shall also be combined so as to fully develop the characteristics of heterogeneousresources.【Method/process】Firstly, Word2 vec tool was used to discover the related concepts in heterogeneous resources,then formalized background representation and concept lattice were constructed. Finally, domain ontology conceptualmodel was constructed and visualized by protégé tool.【Result/conclusion】The experimental results show that the researchmethod can obtain rich domain concepts and relationships from a large number of heterogeneous resources, and the domainontology constructed is also more abundant and can better reflect the knowledge structure of the domain.

关 键 词：形式概念分析 领域本体 Word2vec 异构资源 词向量 

分 类 号：G250.2[文化科学—图书馆学]