文内视觉资源的分析框架与计量探索

发布时间：2018-03-17 08:32

  本文选题：文内视觉资源　切入点：分析框架　出处：《情报学报》2017年02期 　论文类型：期刊论文

【摘要】：学术文献内部的视觉资源(简称文内视觉资源)主要是其图表资源的集合,在学术交流与传播中扮演着重要角色,将其看作可视知识计量单元进行尝试性分析,能从新的视角和更细的粒度拓展计量分析的对象,并为基于可视知识单元的知识服务奠定基础。本文在构建涵盖五大视觉特征与两大关系特征的四级分析框架基础上,搭建文内视觉资源标注平台,选择图书情报领域样本期刊构建语料库,从"属性-关系"两个维度进行计量分析。研究结果表明,样本语料库中文内视觉资源的可视知识计量分析,在一定程度上揭示了图书情报学科及相关研究主题的视觉表达态势。总体上,该框架可为学术视觉资源库建设与管理、检索与分析,以及更细粒度的知识服务提供参考;为评价学科视觉表达态势,促进学术可视化交流与传播奠定基础。
[Abstract]:The visual resources in academic literature are mainly the collection of chart resources, which play an important role in academic communication and communication. They are regarded as visual knowledge measurement units for tentative analysis. It can expand the object of econometric analysis from a new perspective and finer granularity, and lay a foundation for knowledge service based on visual knowledge unit. Build the visual resources annotation platform in the text, select the sample periodicals in the field of library and information to construct the corpus, and carry on the econometric analysis from the two dimensions of "attribute-relation". The visual knowledge measurement analysis of visual resources in Chinese sample corpus reveals the visual expression situation of library and information science and related research subjects to some extent. In general, the framework can be used for the construction and management of academic visual resources bank. Retrieval and analysis, as well as more granular knowledge services, provide a reference for evaluating the visual expression situation of the subject and promoting academic visual communication and dissemination.
【作者单位】： 西南大学计算机与信息科学学院;南京大学信息管理学院;南京理工大学经济管理学院;
【基金】：国家社会科学基金重大项目“面向大数据的数字图书馆移动视觉搜索机制及应用研究”(15ZDB126)
【分类号】：G350
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本文编号：1623957