作　　者： ;

机构地区： 中山大学

出　　处： 《图书情报知识》 2019年第1期119-129,共11页

摘　　要： [目的/意义]共现科学知识图谱在研究热点与趋势洞察、学术共同体发现、学科交叉融合的测度与可视化等方面扮演愈加重要的角色,有必要深入探究其构建技术与工具。[研究设计/方法]将共现网络知识图谱构建流程划分为知识单元抽取、知识网络构建、知识发现与可视化三个层次,结合主流共现图谱软件系统梳理各层次涉及的关键技术,并基于行动者、事件和转换方式三大维度构建具有普适性的共现网络构建模型。[结论/发现]知识单元选择的细粒度、客观性与创新性;共现网络构建的差异化、语义化和多元化;统计分析方法的改进以及不同图谱科学结构揭示能力的比较是共现科学知识图谱研究与应用的发展趋势和主要挑战。[创新/价值]对共现图谱构建的理论基础和工具进行了详细梳理,提出了共现网络构建模型和未来发展方向。 [Purpose/Significance] Mapping knowledge domain of co-occurrence science plays an increasingly important role in the study of detecting research hotspots and trends, discovering academic community,measuring and visualizing interdisciplinary integration and so on. So it is necessary to profoundly explore its key techniques and tools.[Design/ Methodology ] This paper divides the process of mapping knowledge domain construction in co-occurrence science into three levels: knowledge unit extraction, knowledge network construction, and knowledge discovery and visualization, and analyzes the key technologies according to some main co-occurrence mapping softwares. Then a co-occurrence network construction model with wide adaptability is proposed based on the actors, events and transforming methods.[Findings/Conclusion] The developing trends and major challenges have been pointed out, including the fine granularity, objectivity and innovation of knowledge unit selection;the differentiation, semantics and diversity of co-occurrence network construction;the improvement of statistical analyzing methods and the comparative study on revealing ability of different map scientific structures.[ Originality/ Value] Theories and tools of co-occurrence map construction have been thoroughly analyzed in details, and the co-occurrence network construction model and the developing trends have been put forward.

关 键 词： 科学知识图谱 共现网络 共现分析 可视化 科学知识图谱绘制工具

分 类 号： [G250.2]

领　　域： []