Proceedings of the 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)

Adjudication Framework for Construction Disputes

Authors
Dan Li, Xiaoting Kang, Hao Xu, Yihua Mao
Corresponding Author
Yihua Mao
Available Online August 2019.
DOI
10.2991/ielss-19.2019.13How to use a DOI?
Keywords
Construction Disputes; NLP; Adjudication; Contract Management.
Abstract

Complexity existed in the civil engineering field, especially when considering the power and responsibility relationship among the contractors, subcontractors, owners and various stakeholders. Numerous engineering disputes are inevitably lead. Meanwhile, the judgement logic hidden in the adjudication of engineering disputes were quite similar. Therefore, the ontology theory and machine learning were introduced to predict the adjudication results. Sorting out and summarizing the judgment logic of dispute cases, a knowledge map was constructed with the ontology theory of power and responsibility, which could be the theoretical foundation for the application of machine learning.

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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Volume Title
Proceedings of the 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2019
ISBN
978-94-6252-778-2
ISSN
2352-5398
DOI
10.2991/ielss-19.2019.13How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Dan Li
AU  - Xiaoting Kang
AU  - Hao Xu
AU  - Yihua Mao
PY  - 2019/08
DA  - 2019/08
TI  - Adjudication Framework for Construction Disputes
BT  - Proceedings of the 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)
PB  - Atlantis Press
SP  - 64
EP  - 67
SN  - 2352-5398
UR  - https://doi.org/10.2991/ielss-19.2019.13
DO  - 10.2991/ielss-19.2019.13
ID  - Li2019/08
ER  -