Knowledge graphs: Opportunities and challenges
With the explosive growth of artificial intelligence (AI) and big data, it has become vitally
important to organize and represent the enormous volume of knowledge appropriately. As …
important to organize and represent the enormous volume of knowledge appropriately. As …
[HTML][HTML] A survey on large language model (llm) security and privacy: The good, the bad, and the ugly
Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …
natural language understanding and generation. They possess deep language …
Drivelm: Driving with graph visual question answering
We study how vision-language models (VLMs) trained on web-scale data can be integrated
into end-to-end driving systems to boost generalization and enable interactivity with human …
into end-to-end driving systems to boost generalization and enable interactivity with human …
The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study
Deep learning (DL)-based methods have advanced the field of Prognostics and Health
Management (PHM) in recent years, because of their powerful feature representation ability …
Management (PHM) in recent years, because of their powerful feature representation ability …
A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
A survey on knowledge graphs: Representation, acquisition, and applications
Human knowledge provides a formal understanding of the world. Knowledge graphs that
represent structural relations between entities have become an increasingly popular …
represent structural relations between entities have become an increasingly popular …
Smart manufacturing process and system automation–a critical review of the standards and envisioned scenarios
Smart manufacturing is arriving. It promises a future of mass-producing highly personalized
products via responsive autonomous manufacturing operations at a competitive cost. Of …
products via responsive autonomous manufacturing operations at a competitive cost. Of …
Learning knowledge graph embedding with heterogeneous relation attention networks
Knowledge graph (KG) embedding aims to study the embedding representation to retain the
inherent structure of KGs. Graph neural networks (GNNs), as an effective graph …
inherent structure of KGs. Graph neural networks (GNNs), as an effective graph …
Domain-specific knowledge graphs: A survey
B Abu-Salih - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying structure of the …
revolution in knowledge representation. This is leveraged by the underlying structure of the …
A survey of knowledge-enhanced text generation
The goal of text-to-text generation is to make machines express like a human in many
applications such as conversation, summarization, and translation. It is one of the most …
applications such as conversation, summarization, and translation. It is one of the most …