Table of Content

Open Access iconOpen Access

ARTICLE

Word Embedding Based Knowledge Representation with Extracting Relationship Between Scientific Terminologies

Mucheol Kim*, Junho Kim, Mincheol Shin

School of Computer Science and Engineering, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, Korea

* Corresponding Author: Mucheol Kim, email

Intelligent Automation & Soft Computing 2020, 26(1), 141-147. https://doi.org/10.31209/2019.100000135

Abstract

With the trends of big data era, many people want to acquire the reliable and refined information from web environments. However, it is difficult to find appropriate information because the volume and complexity of web information is increasing rapidly. So many researchers are focused on text mining and personalized recommendation for extracting users’ interests. The proposed approach extracted semantic relationship between scientific terminologies with word embedding approach. We aggregated science data in BT for supporting users’ wellness. In our experiments, query expansion is performed with relationship between scientific terminologies with user’s intention.

Keywords


Cite This Article

APA Style
Kim, M., Kim, J., Shin, M. (2020). Word embedding based knowledge representation with extracting relationship between scientific terminologies. Intelligent Automation & Soft Computing, 26(1), 141-147. https://doi.org/10.31209/2019.100000135
Vancouver Style
Kim M, Kim J, Shin M. Word embedding based knowledge representation with extracting relationship between scientific terminologies. Intell Automat Soft Comput . 2020;26(1):141-147 https://doi.org/10.31209/2019.100000135
IEEE Style
M. Kim, J. Kim, and M. Shin "Word Embedding Based Knowledge Representation with Extracting Relationship Between Scientific Terminologies," Intell. Automat. Soft Comput. , vol. 26, no. 1, pp. 141-147. 2020. https://doi.org/10.31209/2019.100000135



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1291

    View

  • 1014

    Download

  • 0

    Like

Share Link