From scattered sources to comprehensive technology landscape : A recommendation-based retrieval approach

Abstract Mapping the technology landscape is crucial for market actors to take informed investment decisions. However,given the large amount of data on the Web and its subsequent information overload, manually retrievinginformation is a seemingly ineffective and...

Capturing Trends Using OpenAlex and Wikipedia Page Views as Science Indicators: The Case of Data Protection and Encryption Technologies

Abstract This paper presents a novel science indicator to identify, analyze, and capture technology trends based on Wikipedia page views and OpenAlex presented at STI2022. Our webometric methodology is grounded in open science practices and applied to crowd-sourced,...

Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense

Abstract Generative Language Models gained significant attention in late 2022 / early 2023, notably with the introduction of models refined to act consistently with users’ expectations of interactions with AI (conversational models). Arguably the focal point of...

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

Abstract We study security-development patterns in computer-science technologies through (i) the security attention among technologies, (ii) the relation between technological change and security development, and (iii) the effect of opinion on security development. We...