This article discusses the integration of large language models and semantic technologies in order to improve natural language processing and data accessibility. It explores the potential of these technologies to enhance context awareness and push the boundaries of intelligent NLP systems. The Special Issue invites submissions on novel methods, applications, and interdisciplinary approaches that leverage the combined strengths of these technologies.