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  • Research on Data Model Theory and Knowledge Discovery Application Based on Multiple Occurrence of Scientific Literature

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] Various entities and their associations are the basic units that constitute a variety of occurrence phenomena in scientific literature. By mining the associations between occurrence entities, occurrence analysis can detect all aspects of the laws of scientific activities from different angles for scientific research management and researchers. It will provide a new perspective on the development of science from all angles and perspectives.[Method/process] By studying the basic theory of multiple occurrence, this paper constructs a set of unique basic theoretical system of multiple occurrence data model. The theoretical system includes definition of multiple occurrence, multiple occurrence research category, multiple occurrence variable symbols, multiple occurrence matrix definitions, multiple occurrence data organization forms, etc. In addition, based on the multiple occurrence cross-graph visualization method, this paper constructs a knowledge discovery method that can be used to analyze the occurrence relationship of three or more characteristic items, including the occurrence relevance strength, cited relevance strength and occurrence burst strength method.[Result/conclusion] Through the construction of this basic theoretical system, the research scope of occurrence phenomena is expanded, which provides the basic theory support for occurrence analysis to multi-angle and multi-dimension occurrence analysis. And through empirical research, different cases of multiple occurrence applications are selected, proving that the method can be applied to the analysis of research areas, research institutions, institutional contrast, research scholars, etc., and has good analysis results. Due to the multi-dimensional analysis and the diversification of analysis methods, this method can not only achieve the analysis effects of occurrence which includes one entity or two entities, but also reveal more extensive than the common occurrence and in-depth knowledge of content.

  • 佛山市生物医药产业专利分析与发展策略若干建议.doc

    Subjects: Biology >> Biomedical Laboratory Science submitted time 2017-08-08

    Abstract:由于生物医药产业具有巨大的经济效益、社会效益,生物医药产业已经成为许多国家的朝阳产业。对于佛山市的产业发展来说,因为生物医药有着广阔的发展前景,将是佛山市今后的大力发展方向。本论文通过对佛山市的生物医药相关技术领域内的专利进行检索分析,从专利文献研究的角度分析技术领域内研究现状,梳理技术布局,了解相关技术研发的主要应用方向以及优劣势,对比佛山市自身的技术特点,制定专利布局实施方案建议。包括提高专利保护、管理、运用意识;优化产业结构及布局,把握各产业不同发展方式;提升现有技术竞争能力;建立风险预警机制,推送专利信息服务;优化发展环境等方面的具体建议。

  • 知识产权密集型产业现状分析及对策研究—以广东省生物医药行业为例

    Subjects: Biology >> Biomedical Laboratory Science submitted time 2017-07-03

    Abstract:由于生物医药产业具有相当可观的经济和社会效益,其已经成为许多国家重点发展的朝阳产业。为推动生物医药相关产业的发展,诸如美国、日本、印度等国家把生物技术产业作为了提高本国竞争力的手段,并制定了相应的法律法规规范生物医药产业的发展和保障生物医药的知识产权。本论文首先从宏观层面进行各角度数据分析,包括全球、我国的生物医药产业知识产权发展态势分析,然后以广东省生物医药产业为例,对其知识产权密集型情况指标的数据进行分析,并与其他省份的产业经济和专利情况等指标数据进行对比,最后提出有效提高广东省生物医药产业发展和运用知识产权,增强产业竞争力的对策和建议。

  • 广东省生物医药知识产权密集型产业对比分析研究

    Subjects: Biology >> Biomedical Laboratory Science submitted time 2017-05-23

    Abstract:摘要:知识产权密集型产业具备较为明显的专利优势,依赖技术创新与知识产权参与市场摘要:知识产权密集型产业具备较为明显的专利优势,依赖技术创新与知识产权参与市场竞争。生物医药产业具有巨大的经济效益和社会效益,是广东大力扶持的新兴产业。本文选取广东高技术产业、先进制造业及传统产业下的若干产业与生物医药产业进行知识产权密集型情况对比,并通过发展现状、经济贡献及研发创新三个维度进行了对比,最后利用SPSS工具对广东省生物医药专利发展进行预测,为增强广东生物医药知识产权密集型产业竞争力提供建议。

  • 广州生物医药领域科技创新服务平台发展策略若干建议

    Subjects: Biology >> Biomedical Laboratory Science submitted time 2017-03-08

    Abstract:[摘 要] 生物医药产业已经成为继信息产业之后全球经济社会发展的又一重要[摘 要] 生物医药产业已经成为继信息产业之后全球经济社会发展的又一重要推动力,而各类型科技创新平台已经成为生物医药产业发展的重要支撑。本文通过对广州市生物医药领域各类型科技创新平台的深入调查与分析,理清了各平台建设、运营和服务的基本情况;并对比国内外相关发展情况,找出了广州市生物医药领域科技创新平台服务存在的问题;提出了如推进生物医药战略性新兴领域的国家实验室建设、牵头建设珠三角生物医药共享平台等具有针对性的对策与参考意见。