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Beyond patent analytics: Insights from a scientific and technological data mashup based on a case example
World Patent Information ( IF 2.2 ) Pub Date : 2018-12-01 , DOI: 10.1016/j.wpi.2018.10.002
Alessandro Comai

Abstract Although access to open and commercial digital sources is easily available thanks to the proliferation of the internet, R&D departments still face the challenge of how to analyze information from several sources. This paper addresses this issue specifically when technological and scientific information needs to be analyzed in an integrated manner. 12,577 families of patents, 2601 scientific papers and 706 news articles are combined, normalized and analyzed using their own metadata and text. A software tool is used to extract insights from semi-structured and unstructured data by means of text mining. Additionally, interactive force-directed graph visualization is employed to show the multiple relations of concepts during different time periods with regard to the entire technology ecosystem. Through a case study of 3D printing technology, this paper shows how to apply mashup and obtain the benefits, and it defines the challenges of using interactive visualization representation.

中文翻译:

超越专利分析:基于案例的科技数据混搭洞察

摘要 尽管由于互联网的普及,可以轻松访问开放和商业数字资源,但研发部门仍然面临如何分析来自多个来源的信息的挑战。当需要以综合方式分析技术和科学信息时,本文专门解决了这个问题。12,577 个专利族、2601 篇科学论文和 706 篇新闻文章使用自己的元数据和文本进行组合、规范化和分析。一种软件工具用于通过文本挖掘从半结构化和非结构化数据中提取见解。此外,采用交互式力导向图可视化来展示整个技术生态系统在不同时间段内概念的多重关系。
更新日期:2018-12-01
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