Research on Construction of Knowledge Graph of Intestinal Cells

Authors

Fengfeng He^1, , Ling Zhang^2, , Wei Qu², Chong Teng³, Dan Xie^{1, *,}

¹School of Information Engineering, Hubei University of Chinese Medicine, Hubei, China

²School of Public Health, Wuhan University of Science and Technology, Hubei, China

³School of Cyber Science and Engineering, Wuhan University, Hubei, China

^*Corresponding author. Email: dinaxie@hbtcm.edu.cn

DOI

10.2991/jaims.d.200902.001How to use a DOI?

Keywords

Intestinal cells; Knowledge graph; Knowledge base; SPARQL query

Abstract

Intestinal cells play a significant role in human physiological metabolism, immune protection, and development and control of nervous system diseases. With the flourishing development of artificial intelligence technology and arrival of intestinal cellular research enthusiasm, how to obtain knowledge of intestinal cells from a sea of medical literature and realize knowledge visualization has brought great challenges to medical researchers. At present, knowledge graph of intestinal cells has not been studied. In this paper, we present two processes to construct a knowledge graph of intestinal cells: conceptual layer design and instance layer construction. Conceptual layer design defines data model of knowledge graph. In the process of constructing instance layer, cells are regarded as basic conceptual unit to systematically sort out intestinal cell terminology, acquired data is pre-processed, and then mapped into knowledge graph to construct a knowledge base. We provide several SPARQL query cases, by which medical workers can efficiently obtain knowledge they require from the knowledge base, thereby better serving medical researches.

Copyright

© 2020 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Fengfeng He
AU  - Ling Zhang
AU  - Wei Qu
AU  - Chong Teng
AU  - Dan Xie
PY  - 2020
DA  - 2020/09/24
TI  - Research on Construction of Knowledge Graph of Intestinal Cells
JO  - Journal of Artificial Intelligence for Medical Sciences
SP  - 15
EP  - 22
VL  - 1
IS  - 1-2
SN  - 2666-1470
UR  - https://doi.org/10.2991/jaims.d.200902.001
DO  - 10.2991/jaims.d.200902.001
ID  - He2020
ER  -