[HTML][HTML] Measuring security development in information technologies: A scientometric framework using arXiv e-prints

DP David, L Maréchal, W Lacube, S Gillard… - … forecasting and social …, 2023 - Elsevier
We study security-development patterns in computer-science technologies through (i) the
security attention among technologies,(ii) the relation between technological change and …

What is your next invention?—A framework of mining technological development rules and assisting in designing new technologies based on BERT as well as patent …

Z Qiu, Z Wang - Computers in Industry, 2023 - Elsevier
In the past 20 years, with the rapid development of technology, the number of granted
patents has also been increasing over years. How to utilize these data effectively is very …

Trust in information security technology: An intellectual property analysis

A Pigola, F de Souza Meirelles, PR da Costa… - World Patent …, 2024 - Elsevier
While zero-trust (ZT) technologies cover many aspects of trust in information security (TinIS)
critical to Federal enterprises, more research is required to effectively identify their benefits …

An editorial of “AI+ informetrics”: multi-disciplinary interactions in the era of big data

Y Zhang, C Zhang, P Mayr, A Suominen - Scientometrics, 2022 - Springer
Conclusions In the AI+ Informetrics workshop and this special issue, we noted the
enthusiasm from the global community, demonstrating their strong willingness and interests …

Knowledge graph enhanced citation recommendation model for patent examiners

Y Lu, X Tong, X Xiong, H Zhu - Scientometrics, 2024 - Springer
In the face of a growing volume of patents, patent examiners grapple with prolonged
examination cycles, prompting the need for more effective citation recommendations. To …

A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological Distance

Y Yoo, C Jeong, S Gim, J Lee, Z Schimke… - arXiv preprint arXiv …, 2023 - arxiv.org
Patent similarity analysis plays a crucial role in evaluating the risk of patent infringement.
Nonetheless, this analysis is predominantly conducted manually by legal experts, often …

Self-supervised scientific document recommendation based on contrastive learning

S Tan, T Zhang, S Zhao, Y Zhang - Scientometrics, 2023 - Springer
Scientific document recommendation aims to recommend scientific documents that have
similar content to a given target scientific document (eg, paper or patent, etc.). With the …

A Two-Stage Deep-Learning Model for Link Prediction Based on Network Structure and Node Attributes

P Liu, L Gui, H Wang, M Riaz - Sustainability, 2022 - mdpi.com
Link prediction, which is used to identify the potential relationship between nodes, is an
important issue in network science. In existing studies, the traditional methods based on the …

Effective Information Capture and Retrieval Through Machine Learning-Based Systems

RS Kadam, B Bhushan, VK SB, S Singh… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
Effective information capture and retrieval is crucial for organizations to meet their business
needs and remain competitive in today's fast-paced digital world. Traditional information …

[PDF][PDF] Document Recommendation: An anatomization of neoteric advancements, problems and potential scope

AS Raval, KR Borisagar - researchgate.net
Accompanying the increased use and storage of digital documentation, like either a
repository of research articles or legal and medical documents, finding the proper article is a …