CorText Manager around the world

@article{Ruhua2022,

title = {Research on Open Government Data Utilizationat Home and Abroad: Progress and Trends},

author = {Huang Ruhua and Huang Yuting and Li Ya},

url = {http://qbzl.ruc.edu.cn/CN/abstract/abstract1543.shtml},

doi = {/10.12154/j.qbzlgz.2022.04.001},

year  = {2022},

date = {2022-07-01},

urldate = {2022-07-01},

volume = {43},

number = {5-15},

issue = {4},

school = {Huang Ruhua Huang Yuting (Wuhan University) and Li Ya (Soochow University)},

abstract = {[Purpose/significance] The Open Government Data (OGD) movement has stimulated the opening and sharing of government data significantly. Data use, reuse, distribution, and value creation, is the next vital step in the global OGD movement. Summarizing current research progress in OGD utilization would lay a foundation for follow-up re? search and provide theoretical support for future practice.

[Method/process] This paper intends to explore the development trends and future perspectives of OGD utilization research mainly based on research articles from both China and abroad. Grey literature (i.e., related government documents, meeting minutes, important institution/project reports)are also analyzed to demonstrate a more holistic scenario. First, the development trend and topic distribution of OGD utilization research are discussed. Then, this article clarifies Chinese and international research progress from three aspects of data value, data user and promotion method. Finally, recent research trend of OGD utilization is summarized and future research directions are prospected based on research results.

[Result/conclusion] This paper reveals three research tendencies in OGD utilization studies. First, previous OGD utilization study was driven by the supply side, while current study tends to motivated more by the demand side. Second, previous OGD utilization study was usually conducted from a macro viewpoint, while fine-grained research angle is more preferred currently. Third, research paid more attention on data usage in government departments in former studies, while research on the use of OGD by the public is increasing. Several research topics are worth researching in the future, namely OGD utilization value, diverse OGD users and solid support measures for OGD utilization. From China’s perspective, the angle and depth in OGD utilization research need to be further enhanced. Moreover, studies that reflect Chinese characteristics are essential for the improvement of the international level of China's OGD utilization research. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Fang2021,

title = {基于专利文献技术融合测度的突破性创新主题识别* ——以太阳能光伏领域为例},

author = {Han Fang and Zhang Shengtai and Feng Lingzi and Yuan Junpeng},

url = {https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/abstract/abstract5234.shtml

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/abstract/abstract5234.shtml#1

},

doi = {10.11925/infotech.2096-3467.2021.0240},

year  = {2022},

date = {2022-05-01},

urldate = {2022-05-01},

journal = {Data Analysis and Knowledge Discovery},

volume = {5},

issue = {12},

pages = {137-147},

abstract = {摘要:【目的】基于核心专利的技术融合测度和LDA主题模型，对突破性创新技术主题进行识别。【方法】基

于Innography 平台界定核心专利，应用Rao-Stirling 指数对核心专利的技术融合程度进行测度，挖掘具有突破

性创新能力的专利，结合LDA主题模型识别技术主题，最后基于太阳能光伏领域进行实证研究。【结果】太阳

能光伏领域较强技术融合度的核心专利主要涉及光学、电学和建筑学等学科。共识别出12 个突破性创新技

术主题，主要涉及电池材料、太阳能光伏应用和热电系统。【局限】未对不同专利分类体系下的技术融合测度

进行探讨。【结论】通过探索具有较强技术融合度的核心专利，结合文本分析法，可有效识别技术领域中具有

突破性创新能力的技术主题。},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{朱晓峰2022,

title = {国外政府数据开放研究的主题关联结构与演化态势},

author = {朱晓峰 and 葛 锐 and 蒋 勋},

editor = {情报科学},

url = {http://journal12.magtechjournal.com/jwk3_qbkx/CN/Y2022/V39/I1/109},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {情报科学},

volume = {39},

number = {1},

pages = {109-120},

abstract = {摘要： 【目的/意义】数字时代“开放政府数据”热潮产出了丰硕成果，对其研究主题结构和演化脉络进行全面、精 准的可视化揭示，有助于进一步丰富和完善该领域研究，科学地指导我国实践开展。【方法/过程】以 2000-2019 年 WOS数据库中“开放政府数据”主题文献为基础，借助新型SLM算法探测主题社区，梳理研究主题分布；同时嵌入 SNA方法，引入“传导率”指标定量评估主题社区成熟度和内外部关联，并利用Cortext平台构建时序演进过程。【结 果/结论】国外开放政府数据研究已形成四类主题社区：健康社区、开放数据社区、管理社区以及安全社区，目前仍 存在“主题遍布粒度不够细化、新兴主题社区亟需成长、演化脉络断续明显”等问题。【创新/局限】嵌入新型算法 SLM 划分主题社区，结合 LDA 模型对国外 OGD 研究主题关联与演化进行了完整阐释。但本文仅选取 WOS核心 库的相关主题文献作为数据源,存在进一步扩充的空间。



Abstract: 【Purpose/significance】The upsurge of“Open Government Data”in the digital era has produced fruitful results.A compre⁃hensive and accurate visualization of the thematic structure and evolution of its research will help to further enrich and improve the re⁃search and scientifically guide the practice in China.【Method/process】Firstly.literature on "Open Government Data" from the WOS database from 2000 to 2019 was selected.and keywords co-occurrence network was extracted.Secondly.the new SLM algorithm is used to detect the thematic community.and the distribution of the research is organized.At the same time.the Social Network Analysis meth⁃od is embedded and the "conductivity" index is introduced to quantitatively evaluate the maturity and internal and external relevance of the thematic community.Finally.the Cortext platform is used to construct the time series evolution process【. Result/conclusion】For⁃eign OGD research has formed four types of themed communities:Health communities.Open Data communities.Management communi⁃ties and Security communities. At present.there are still some problems.such as the granularity of the theme spread is not fine enough.the emerging theme community needs to grow up urgently.and the evolution line is obviously discontinuous【. Innovation/limitation】A new algorithm SLM is embedded to divide the thematic community.and then the thematic relevance and evolution of OGD research abroad are fully explained combined with LDA model.But this article only selects related subject literatures in the WOS core collection as the data source and there is room for further expansion.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}