Gene Bank Construction of Start-ups’ Growth Risk Based on Immune System

DOI

10.2991/wcnme-19.2019.18How to use a DOI?

Keywords

start-up; growth risk identification; immune system; ontology; SWRL

Abstract

Under the background of dual innovation, start-ups are faced with huge, complex and diverse growth risks with sudden, dominant and dynamic characteristics during the growth process, which has caused many start-ups to fail. There is a lack of research results from a multi-level systematic exploration of the characteristics of the start-ups’ growth risk identification structure. Moreover, there are no mature products on ontology applications in the field of growth risk identification of start-ups at home and abroad available yet. Based on the theory of biological immune system, this paper combined the ontology with the start-ups’ growth risk, and used the modeling tool protégé and the inference engine JESS to build a start-up growth risk gene pool, in order to identify various risks in the growth process of start-up. The result shows that the ontology model supports the risk identification based on semantic reasoning and can improve the accuracy of the growth risk identification of start-ups.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

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

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TY  - CONF
AU  - Bo Yang
AU  - Chang Liu
PY  - 2019/06
DA  - 2019/06
TI  - Gene Bank Construction of Start-ups’ Growth Risk Based on Immune System
BT  - Proceedings of the 2019 International Conference on Wireless Communication, Network and Multimedia Engineering (WCNME 2019)
PB  - Atlantis Press
SP  - 74
EP  - 78
SN  - 2352-538X
UR  - https://doi.org/10.2991/wcnme-19.2019.18
DO  - 10.2991/wcnme-19.2019.18
ID  - Yang2019/06
ER  -