Defining a knowledge graph development process through a systematic review

G Tamašauskaitė, P Groth - ACM Transactions on Software Engineering …, 2023 - dl.acm.org
Knowledge graphs are widely used in industry and studied within the academic community.
However, the models applied in the development of knowledge graphs vary. Analysing and …

Exploiting knowledge graphs in industrial products and services: a survey of key aspects, challenges, and future perspectives

X Li, M Lyu, Z Wang, CH Chen, P Zheng - Computers in Industry, 2021 - Elsevier
The rapid development of information and communication technologies has enabled a value
co-creation paradigm for developing industrial products and services, where massive …

Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0

C Chen, T Wang, Y Zheng, Y Liu, H Xie, J Deng… - Advanced Engineering …, 2023 - Elsevier
Fault diagnosis is the key concern in the operation and maintenance of industrial assets. A
fault diagnosis knowledge graph (KG) can provide decision support to the engineers to …

Achieving Knowledge-as-a-Service in IIoT-driven smart manufacturing: A crowdsourcing-based continuous enrichment method for Industrial Knowledge Graph

M Lyu, X Li, CH Chen - Advanced Engineering Informatics, 2022 - Elsevier
The rapid development of the industrial internet of things (IIoT) enlightened more tools and
techniques to optimize the smart manufacturing service (SMS) paradigm, emphasizing the …

Domain knowledge-based security bug reports prediction

W Zheng, JY Cheng, X Wu, R Sun, X Wang… - Knowledge-Based …, 2022 - Elsevier
To eliminate security attack risks of software products, the security bug report (SBR)
prediction has been increasingly investigated. However, there is still much room for …

Application of knowledge graph in software engineering field: A systematic literature review

L Wang, C Sun, C Zhang, W Nie, K Huang - Information and Software …, 2023 - Elsevier
Context: Knowledge graphs describe knowledge resources and their carriers through
visualization. Moreover, they mine, analyze, construct, draw, and display knowledge and …

结合知识图谱与双向长短时记忆网络的小麦条锈病预测.

张善文, 王振, 王祖良 - … of the Chinese Society of Agricultural …, 2020 - search.ebscohost.com
针对现有小麦条锈病预测方法没有利用病害发生因素之间的语义信息, 存在预测难度大,
准确率低等问题, 利用知识图谱(Knowledge Graph, KG) 和双向长短时记忆网络(Bi-directional …

Exploiting code knowledge graph for bug localization via bi-directional attention

J Zhang, R Xie, W Ye, Y Zhang, S Zhang - Proceedings of the 28th …, 2020 - dl.acm.org
Bug localization automatic localize relevant source files given a natural language
description of bug within a software project. For a large project containing hundreds and …

Improving software bug-specific named entity recognition with deep neural network

C Zhou, B Li, X Sun - Journal of Systems and Software, 2020 - Elsevier
There is a large volume of bug data in the bug repository, which contains rich bug
information. Existing studies on bug data mining mainly rely on using information retrieval …

Research process on software development model

J Yu - IOP Conference Series: Materials Science and …, 2018 - iopscience.iop.org
Software development model is the form of the organization and management of software
development which affects the quality of software development directly, and it is one of the …