Detecting contradictions from IoT protocol specification documents based on neural generated knowledge graph-Reference-Cited by-同舟云学术

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Detecting contradictions from IoT protocol specification documents based on neural generated knowledge graph

Published:2023-10 Issue: Volume:141 Page:10-19
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Feng Xinguo,Zhang Yanjun,Meng Mark Huasong,Li Yansong^ORCID,Joe Chegne Eu,Wang Zhe,Bai Guangdong

Funder

University of Queensland

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference59 articles.

1. Detecting contradictions from CoAP RFC based on knowledge graph;Feng,2022

2. Process automation in an IoT–fog–cloud ecosystem: A survey and taxonomy;Chegini;IoT,2021

3. Managing IoT devices using blockchain platform;Huh,2017

4. BIFF: A blockchain-based IoT forensics framework with identity privacy;Le,2018

5. Scrutinizing implementations of smart home integrations;Mahadewa;IEEE Trans Softw Eng,2019

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1. Automatic Extraction of Petri Nets from RFC Protocol Texts;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08

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