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Variables Extraction in Natural (English) Language Through Possessive Relationships

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Advances in Artificial Intelligence (JSAI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1128))

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Abstract

This is an extension from a selected paper from JSAI2019. The already highlighted importance of the ‘flow’ of data in the Market of Data brings needs of development of ways to better explore the utilization of data. Aware of the existence of rich knowledge stored and shared in text format, this paper aims to propose a method of representation of variable names that can be identified in natural language written knowledge. With the use of possessive relationships between words in Noun Phrases, we supported the representation of variable name relating a variable to a thing or event. A simple experiment was performed to demonstrate the efficacy of the proposed representation supported by Data Jacket Store, where we can find well-form variable names under the name of Variable Labels.

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Acknowledgements

This study was partially based on results obtained from a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO), and JSPS KAKENHI Grant Numbers JP16H01836. Also, we would like to thank Kyodo Printing Co., Ltd., Artificial Intelligence Research Promotion Foundation, and Quantum Leap Flagship Program of MEXT.

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Authors and Affiliations

  1. The University of Tokyo, Hongo 7-3-1, Bunkyo, Tokyo, 113-8656, Japan

    Danilo Eidy Miura, Yukio Ohsawa & Teruaki Hayashi

Authors
  1. Danilo Eidy Miura
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  2. Yukio Ohsawa
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  3. Teruaki Hayashi
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Corresponding author

Correspondence to Danilo Eidy Miura .

Editor information

Editors and Affiliations

  1. Department of Systems Innovation, University of Tokyo, Tokyo, Japan

    Yukio Ohsawa

  2. Faculty of Business and Commerce, Kansai University, Osaka, Japan

    Katsutoshi Yada

  3. Nagoya Institute of Technology, Nagoya, Japan

    Takayuki Ito

  4. Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan

    Yasufumi Takama

  5. Department of Information and Communication, Tokyo Metropolitan University, Tokyo, Japan

    Eri Sato-Shimokawara

  6. Faculty of Letters, Chiba University, Chiba, Japan

    Akinori Abe

  7. School of Engineering, The University of Tokyo, Tokyo, Japan

    Junichiro Mori

  8. Graduate School of Economics, Osaka University, Toyonaka, Osaka, Japan

    Naohiro Matsumura

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Miura, D.E., Ohsawa, Y., Hayashi, T. (2020). Variables Extraction in Natural (English) Language Through Possessive Relationships. In: Ohsawa, Y., et al. Advances in Artificial Intelligence. JSAI 2019. Advances in Intelligent Systems and Computing, vol 1128. Springer, Cham. https://doi.org/10.1007/978-3-030-39878-1_15

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