本体：强人工智能的基石

杨啸林; 王哲; 潘虹洁; 朱彦

doi:10.24920/003701

Your Location：

Home >

Browse articles >

本体：强人工智能的基石

中国医学科学杂志（英文版） 2019年34卷第4期页码：277-280

Journal Watch | Updated：2024-04-10

- 本体：强人工智能的基石
- Affiliations：
  
  1. Department of Biomedical Engineering, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730 China
  2. Research Division of Knowledge Organization and Standardization, Institute of Information on Traditional Chinese Medicine, Chinese Academy of Chinese Medical Sciences, Beijing, 100700 China
- Author bio：
  
  **, Tel: 13651136740; E-Mail: yangxl@pumc.edu.cn.
- Funds：
- DOI：10.24920/003701
  中图分类号：
- 收稿日期：2019-12-13，
  
  录用日期：2019-12-23，
  
  网络出版日期：2019-10-27，
  
  纸质出版日期：2019-10-27
- Accepted：
Scan QR Code
杨啸林, 王哲, 潘虹洁, 等. 本体：强人工智能的基石[J]. 中国医学科学杂志（英文版）, 2019,34(4):277-280.

Yang Xiaolin, Wang Zhe, Pan Hongjie, et al. Ontology: Footstone for Strong Artificial Intelligence[J]. Chinese medical sciences journal, 2019, 34(4): 277-280.
杨啸林, 王哲, 潘虹洁, 等. 本体：强人工智能的基石[J]. 中国医学科学杂志（英文版）, 2019,34(4):277-280. DOI： 10.24920/003701.

Yang Xiaolin, Wang Zhe, Pan Hongjie, et al. Ontology: Footstone for Strong Artificial Intelligence[J]. Chinese medical sciences journal, 2019, 34(4): 277-280. DOI： 10.24920/003701.

摘要

Abstract

In the past ten years

the application of artificial intelligence (AI) in biomedicine has increased rapidly

which roots in the rapid growth of biomedicine data

the improvement of computing performance

and the development of deep learning methods. At present

there are great difficulties in front of AI for solving complex and comprehensive medical problems. Ontology can play an important role in how to make machines have stronger intelligence and has wider applications in the medical field. By using ontologies

(meta) data can be standardized so that data quality is improved and more data analysis methods can be introduced

data integration can be supported by the semantics relationships which are specified in ontologies

and effective logic expression in nature language can be better understood by machine. This can be a pathway to stronger AI. Under this circumstance

the Chinese Conference on Biomedical Ontology and Terminology was held in Beijing in autumn 2019

with the theme “Making Machine Understand Data”. The success of this conference further improves the development of ontology in the field of biomedical information in China

and will promote the integration of Chinese ontology research and application with the international standards and the findability

accessibility

interoperability

and reusability(FAIR) Data Principle.

关键词

Keywords

references

Walch Kathleen . Cognitive World . Rethinking weak vs . Strong AI. Forbes . https://www.forbes.com/sites/cognitiveworld/2019/10/04/rethinking-weak-vs-strong-ai/ https://www.forbes.com/sites/cognitiveworld/2019/10/04/rethinking-weak-vs-strong-ai/ . Published October 4, 2019 ; accessed December 7 , 2019 .

Topol E . Deep medicine: how artificial intelligence can make healthcare human again. 1st ed. New York: Basic Books, Hachette ; 2019 .

Schriml LM , Mitraka E , Munro J , et al . Human Disease Ontology 2018 update: classification, content and workflow expansion . Nucleic Acids Research 2018 ; 47 ( D1 ): D955 - 62 . doi: 10.1093/nar/gky1032 10.1093/nar/gky1032 .

OWL Working Group . Web Ontology Language (OWL) . https://www.w3.org/OWL https://www.w3.org/OWL . Published October 27, 2009 ; updated December 11, 2012; accessed October 9 , 2019 .

Ashburner M , Ball CA , Blake JA , et al . Gene Ontology: tool for the unification of biology . Nature Genetics 2000 ; 25 ( 1 ): 25 - 9 . doi: 10.1038/75556 10.1038/75556 .

Asif M , Martiniano HFMCM , Vicente AM , et al . Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology . PLoS ONE 2018 ; 13 ( 12 ): e0208626 . doi: 10.1371/journal.pone.0208626 10.1371/journal.pone.0208626 .

Smith B , Ashburner M , Rosse C , et al . The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration . Nat Biotechnol 2007 ; 25 ( 11 ): 1251 - 5 . doi: 10.1038/nbt1346 10.1038/nbt1346 .

Arp R , Smith B , Spear A . Building ontologies with basic formal ontology. Cambridge : MIT Press ; 2015 .

Ross C , Swetlitz I . IBM pitched its Watson supercomputer as a revolution in cancer care . It’s nowhere close. STAT . https://www.statnews.com/2017/09/05/watson-ibm-cancer/comment-page-3 https://www.statnews.com/2017/09/05/watson-ibm-cancer/comment-page-3 . Published September 5, 2017 ; accessed October 28 , 2019 .

Shortliffe EH , Cimino, J. Editor . Biomedical informatics: computer applications in health care and biomedicine. 4th Ed . Verlag London: Springer , 2014 .

Hohenecker P , L ukasiewicz T . Deep learning for ontology reasoning . https://arxiv.org/abs/1705.10342 https://arxiv.org/abs/1705.10342 . Published May 29, 2017 ; accessed October 28 , 2019 .

The Chinese Conference on Biomedical Ontology and Terminology 2019 web site. Terminology 2019 web site. . Terminology 2019 web site. http://ontochina.org/ccbot2019/ http://ontochina.org/ccbot2019/ . Accessed December 17, 2019.

National Population Health Data Center web site . http://www.ncmi.cn http://www.ncmi.cn . Accessed December 17, 2019.

Wilkinson MD , Dumontier M , Aalbersberg IJ , et al . The FAIR Guiding Principles for scientific data management and stewardship . Scientific Data 2016 ; 3 ( 1 ): 160018 . doi: 10.1038/sdata.2016.18 10.1038/sdata.2016.18 .

浏览量

231

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

关联资源

Traditional Chinese Medicine (TCM) Domain Ontology: Current Status and Rethinking for the Future Development

Semi-supervised Long-tail Endoscopic Image Classification

Histopathological Diagnosis System for Gastritis Using Deep Learning Algorithm

Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers

Innovative Applications of Patient Experience Big Data in Modern Hospital Management Improve Healthcare Quality