A New Visualization Method for Patent Map: Application to Ubiquitous Computing Technology
A New Visualization Method for Patent Map: Application to Ubiquitous Computing Technology
复制标题
专利地图可视化新方法：在普适计算技术中的应用
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
Sang C. Park
中科院分区：
文献类型：
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作者：
J. Suh;Sang C. Park
随着技术以更快和更复杂的方式发展，预测技术进步的方向变得越来越重要。因此，世界各国提出了许多方法，其中之一就是利用专利信息。此外，在各国政府的努力下，许多专利分析方法已经被开发和提出，通常是基于专利文献。然而，现有的专利分析方法存在一定的局限性。在本文中，我们提出了一种新的可视化方法的专利地图，它表示专利分析结果，同时考虑每个专利文件的结构化和非结构化的项目。通过采用k-means聚类算法和语义网络，我们提出了具体的步骤，使专利地图，给一个清晰的和本能的洞察目标技术。在应用方面，构建了普适计算技术的专利地图，并对普适计算技术的发展进行了全面的分析。
As technologies develop in faster and more complicated ways, it is getting more important to expect the direction of technological progresses. So many methods are being proposed all around world and one of them is to use patent information. Moreover, with efforts of governments in many countries, many patent analysis methods have been exploited and suggested usually on the basis of patent documents. However, current patent analysis methods have some limitations. In this paper, we suggest a new visualization method for a patent map, which represents patent analysis results with considering both structured and unstructured items of each patent document. And by the adoption of the k-means clustering algorithm and semantic networks, we suggest concrete steps to make a patent map which gives a clear and instinctive insight on the targeted technology. In application, we built up a patent map for the ubiquitous computing technology and discussed an overall view of its progresses.