Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] A wide variety of topic models has been developed with improved algorithm. This paper aims to study the research advances, generation process and algorithm of citation based topic models. Additionally, we discuss the application in the text of academic articles and research areas in the future.[Method/process] Based on the data of Web of Science and CNKI database, we collected articles of citation based topic models. In these articles, we selected several representative articles after manual interpretation to analyze the generative process, parameter estimation and inference methods in these citation based topic models.[Result/conclusion] Currently, there are mainly three types of citation based topic models. This includes the topic models which focus on the topic-citation distribution, while other topic models mainly study the relationship between the citing documents and the cited documents. Besides, citation context based topic models are also available. Additionally, more complete topic content can be detected after introducing citation information into the topic models. Moreover, most of the models are the variants of LDA and PLSA. In future, incorporating citation context information into topic models, improving the inference methods and applying the models are some of the future directions.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/Significance] Emerging technology identification helps countries and enterprises to grasp the technological frontier, discover technological opportunities, seize market opportunities and create social value. This paper reviews the research progress of emerging technology identification, and provides a reference for the study of emerging technology identification. [Method/Process] On the basis of clarifying the concepts and characteristics of emerging technology, this paper introduced the identification methods of emerging technologies based on relational networks in detail, summarized the network nodes, network relationships and measurement indicators of emerging technology identification, and made recommendations for the future study of emerging technology identification. [Result/Conclusion] The identification methods of emerging technology based on relational networks include the methods based on citation relationships, co-occurrence relationships, and similarity relationships. The network nodes of emerging technology identification are mainly from papers and patents data. The existing indicator system includes bibliometric indicators and network structure characteristic indicators. In the future, the study of emerging technology identification can be improved from the aspects of enriching data sources, integrating network relationships and measurement indicators. At the same time, the exploration of fusion network of multi-source data and multiple relationships in emerging technology identification should be strengthened.
Subjects: Library Science，Information Science >> Information Science submitted time 2017-11-08 Cooperative journals: 《数据分析与知识发现》
Abstract：【目的】制定专题专利预警平台建设方案, 为长期的专题跟踪预警分析、专题数据再利用等工作提供一种解决途径。【方法】平台集成开源代码平台和工具(DSpace、OpenRefine、ECharts、VOSviewer 等), 实现对专题数据的存储、跟踪、分类、清洗、分析、管理等功能。【结果】选择极紫外光刻技术专题进行应用实践, 测试并解决实践过程中的细节问题, 验证专题专利预警平台的可行性和有效性。【局限】目前的专题专利预警平台数据处理全自动化、数据分析指标化、内容挖掘的关联实现等方面需要进一步优化。【结论】专题专利预警平台所实现的功能, 对于在技术研发生命周期内进行技术专利及时跟踪预警并分类管理有着现实的意义。
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