Research on application of knowledge graph in industrial control system security situation awareness and decision-making: A survey
L Liu, P Xu, K Fan, M Wang - Neurocomputing, 2024 - Elsevier
Abstract Knowledge graph as a powerful tool for knowledge organization and
representation, can integrate scattered data into a unified knowledge network, enabling …
representation, can integrate scattered data into a unified knowledge network, enabling …
Technological topic analysis of standard-essential patents based on the improved Latent Dirichlet Allocation (LDA) model
C Tian, J Zhang, D Liu, Q Wang… - Technology Analysis & …, 2024 - Taylor & Francis
Standard-essential patents (SEPs) are an important technological resource for firms in the
telecommunication industry. The utilisation of technological topic analysis to reveal the …
telecommunication industry. The utilisation of technological topic analysis to reveal the …
A personalized recommendation system for high-quality patent trading by leveraging hybrid patent analysis
W Du, Y Wang, W Xu, J Ma - Scientometrics, 2021 - Springer
Patents, as technological innovation with commercial values, play a significant role for
increasing enterprise and national competitiveness. Personalized recommendation in online …
increasing enterprise and national competitiveness. Personalized recommendation in online …
Assessing the factors influencing the intention to use information and communication technology implementation and acceptance in China's education sector
Abstract Information and communication technology (ICT) has become increasingly
important worldwide in education. This study aims to recognize the factors that influence the …
important worldwide in education. This study aims to recognize the factors that influence the …
A two-stage deep learning-based system for patent citation recommendation
The increasing number of patents leads patent applicants and examiners to spend more
time and cost on searching and citing prior patents. Deep learning has exhibited outstanding …
time and cost on searching and citing prior patents. Deep learning has exhibited outstanding …
A Zipf's law-based text generation approach for addressing imbalance in entity extraction
Z Wang, M Ren, D Gao, Z Li - Journal of Informetrics, 2023 - Elsevier
Entity extraction is critical in the intelligent advancement across diverse domains.
Nevertheless, a challenge to its effectiveness arises from the data imbalance, where certain …
Nevertheless, a challenge to its effectiveness arises from the data imbalance, where certain …
An eXplainable AI (XAI) model for text-based patent novelty analysis
The technology development cycle continues to accelerate, and novelty analysis is
becoming increasingly important for R&D planning as well as in the patent application …
becoming increasingly important for R&D planning as well as in the patent application …
The influence of the number of patents on the economic growth of the country–evidence from Serbia and Hungary
Background: One of the indicators of a country's innovation is the total number of registered
patents. This paper analyzes the number of registered patents and the impact they can have …
patents. This paper analyzes the number of registered patents and the impact they can have …
An approach for detecting the commonality and specialty between scientific publications and patents
Scientific publications and patents are usually viewed as respective proxies of scientific
research and technical development. There is considerable effort spent towards establishing …
research and technical development. There is considerable effort spent towards establishing …
A deep learning based method benefiting from characteristics of patents for semantic relation classification
The deep learning has become an important technique for semantic relation classification in
patent texts. Previous studies just borrowed the relevant models from generic texts to patent …
patent texts. Previous studies just borrowed the relevant models from generic texts to patent …