Semantic Web and Language Models

Dear Colleagues,

The rapid evolution of Artificial Intelligence (AI) in recent years is illustrated in important developments in both the Semantic Web and language models (in particular, Large Language Models—LLMs), two fields that have the potential to revolutionize the way we interact with data and knowledge. The Semantic Web aims to create a more intelligent, interconnected web where machines can understand and interpret the meaning of data. Large Language Models, driven by deep learning, have seen exponential growth in their ability to process, generate, and understand human language. Together, these advancements are opening new frontiers for AI systems that not only respond to queries but also engage in complex reasoning and personalized interactions, although limitations and research challenges still exist. This Special Issue seeks to explore the intersection of these two dynamic fields, examining the challenges, opportunities, and future directions of integrating semantic technologies with large language models. The objective is to foster discussions on how such integrations can enhance the capabilities of AI systems, improve knowledge representation, and ultimately contribute to creating more effective AI systems. In this research direction, it is crucial to consider the ethical, technical, and societal implications of these transformative technologies.

Dr. Nikolaos Papadakis
Guest Editor

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