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SOM-Based Visualization of Potential Technical Solutions with Fuzzy Bag-of-Words Utilizing Multi-view Information

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Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12482))

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Abstract

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. Document \(\times \) F-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.

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Notes

  1. 1.

    https://cl.asahi.com/api_data/wordembedding.html.

  2. 2.

    https://aial.shiroyagi.co.jp/2017/02/japanese-word2vec-model-builder/.

  3. 3.

    https://sustainablebrands.com/read/cleantech/trending-beverage-makers-turning-production-waste-into-biomass-carbonation.

  4. 4.

    https://iopscience.iop.org/article/10.1088/1755-1315/395/1/012090/meta.

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Acknowledgment

This work was achieved through the use of large-scale computer systems at the Cybermedia Center, Osaka University, and was supported in part by JSPS KAKENHI Grant Number JP18K11474.

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Authors and Affiliations

  1. Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, 599-8531, Japan

    Yasushi Nishida & Katsuhiro Honda

Authors
  1. Yasushi Nishida
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  2. Katsuhiro Honda
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Corresponding author

Correspondence to Katsuhiro Honda .

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Editors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Van-Nam Huynh

  2. University of Hyogo, Kobe, Japan

    Tomoe Entani

  3. Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand

    Chawalit Jeenanunta

  4. Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan

    Masahiro Inuiguchi

  5. Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand

    Pisal Yenradee

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Nishida, Y., Honda, K. (2020). SOM-Based Visualization of Potential Technical Solutions with Fuzzy Bag-of-Words Utilizing Multi-view Information. In: Huynh, VN., Entani, T., Jeenanunta, C., Inuiguchi, M., Yenradee, P. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2020. Lecture Notes in Computer Science(), vol 12482. Springer, Cham. https://doi.org/10.1007/978-3-030-62509-2_16

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  • DOI: https://doi.org/10.1007/978-3-030-62509-2_16

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  • Online ISBN: 978-3-030-62509-2

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