Research on Construction of Knowledge Graph of Intestinal Cells
- https://doi.org/10.2991/jaims.d.200902.001How to use a DOI?
- Intestinal cells, Knowledge graph, Knowledge base, SPARQL query
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/jaims.d.200902.001 ID - He2020 ER -