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 …
However, the models applied in the development of knowledge graphs vary. Analysing and …
[HTML][HTML] Knowledge graph quality control: A survey
X Wang, L Chen, T Ban, M Usman, Y Guan, S Liu… - Fundamental …, 2021 - Elsevier
A knowledge graph (KG), a special form of semantic network, integrates fragmentary data
into a graph to support knowledge processing and reasoning. KG quality control is important …
into a graph to support knowledge processing and reasoning. KG quality control is important …
Selfkg: Self-supervised entity alignment in knowledge graphs
Entity alignment, aiming to identify equivalent entities across different knowledge graphs
(KGs), is a fundamental problem for constructing Web-scale KGs. Over the course of its …
(KGs), is a fundamental problem for constructing Web-scale KGs. Over the course of its …
Construction and applications of billion-scale pre-trained multimodal business knowledge graph
Business Knowledge Graphs (KGs) are important to many enterprises today, providing
factual knowledge and structured data that steer many products and make them more …
factual knowledge and structured data that steer many products and make them more …
Executable knowledge graphs for machine learning: a Bosch case of welding monitoring
Data analysis including ML are essential to extract insights from production data in modern
industries. However, industrial ML is affected by: the low transparency of ML towards non …
industries. However, industrial ML is affected by: the low transparency of ML towards non …
Knowledge graph of mobile payment platforms based on deep learning: Risk analysis and policy implications
H Xia, Y Wang, J Gauthier, JZ Zhang - Expert Systems with Applications, 2022 - Elsevier
The Fintech mobile payment platform is expanding rapidly; this expansion, in turn, creates
numerous risks. There is an urgent need to better understand these risks and to spur more …
numerous risks. There is an urgent need to better understand these risks and to spur more …
FolkScope: Intention knowledge graph construction for E-commerce commonsense discovery
Understanding users' intentions in e-commerce platforms requires commonsense
knowledge. In this paper, we present FolkScope, an intention knowledge graph construction …
knowledge. In this paper, we present FolkScope, an intention knowledge graph construction …
A patent recommendation method based on KG representation learning
The number of patents is constantly increasing, providing an invaluable knowledge base.
But retrieving this knowledge becomes ever more challenging with the increase in data. In …
But retrieving this knowledge becomes ever more challenging with the increase in data. In …
A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media
A fundamental issue in healthcare misinformation detection is the lack of timely resources
(eg, medical knowledge, annotated data), making it challenging to accurately detect …
(eg, medical knowledge, annotated data), making it challenging to accurately detect …
Parameter identification and refinement for parallel PCB inspection in cyber–physical–social systems
Replacing manual inspection, automated optical inspection (AOI) equipment is widely used
in printed circuit board (PCB) factories for automatic PCB defect segmentation. However …
in printed circuit board (PCB) factories for automatic PCB defect segmentation. However …