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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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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DOI: https://doi.org/10.1007/978-3-030-39878-1_15
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