Human similarity and relatedness judgements between concepts underlie most of cognitive
capabilities, such as categorisation, memory, decision-making and reasoning. For this …

Graph representation learning has re-emerged as a fascinating research topic due to the
successful application of graph convolutional networks (GCNs) for graphs and inspires …

As a part of innovation in forecasting, scientific topic hotness prediction plays an essential
role in dynamic scientific topic assessment and domain knowledge transformation modeling …

The evaluation of the semantic similarity of concepts organized according to taxonomies is a
long-standing problem in computer science and has attracted great attention from …

Measuring the knowledge linkage between science and technology (S&T) is crucial for
understanding the interactions between S&T and assisting decision-makers in strategizing …

Social media such as Twitter connect billions of people by allowing them to exchange their
thoughts via short-text communication. Topic modelling is a widely used technique for …

Purpose This paper examines the problem of lack of historical data and inadequate
consideration of factors influencing demand in the forecasting of demand for fast fashion …

Image forgery poses a serious threat in electric power, medicine and other fields. Relevant
departments need to pay a great price to identify the authenticity of the image. For traditional …

We present the parametric method SemSim p aimed at measuring semantic similarity of
digital resources. SemSim p is based on the notion of information content, and it leverages a …

Most of the current research on the information analysis of social media (SM) for public
emergency focused on a single dimension such as emotion while neglecting the interaction …