SOM-Based Visualization of Potential Technical Solutions with Fuzzy Bag-of-Words Utilizing Multi-view Information
SOM-Based Visualization of Potential Technical Solutions with Fuzzy Bag-of-Words Utilizing Multi-view Information
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DOI：
10.1007/978-3-030-62509-2_16
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
Yasushi Nishida;Katsuhiro Honda
中科院分区：
文献类型：
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作者：
Yasushi Nishida;Katsuhiro Honda
基于som的可视化是一种很有前途的方法，可用于揭示专利文档中不同的潜在技术解决方案。本文试图利用多视图信息构造模糊词袋矩阵来提高视觉表示的质量。F-term是日本专利局（JPO）审查员对日本专利文献给出的特殊主题代码，有望成为潜在的二次审查信息候选项。文档术语共现信息用于提高FBoW表示的质量，从而通过考虑f术语语义来衡量单词之间的语义相似性。通过对专利文献数据的分析，证明了利用f项语义构建FBoW的优势。
SOM-based visualization is a promising approach for revealing potential technical solutions varied in patent documents. In this paper, we try to improve the quality of visual representation by constructing Fuzzy Bag-of-Words (FBoW) matrices through utilization of multi-view information. F-term is the special theme code given by the examiners of Japan Patent Office (JPO) for Japanese patent documents and is expected to be a potential candidate of second-view information. DocumentF-term co-occurrence information is utilized for improving the quality of FBoW representation such that semantical similarities among words are measured by considering F-term semantics. The advantage of utilizing F-term semantics in constructing FBoW is demonstrated through analysis of patent document data.