Simone Angioni

Papers

Total Citations

H-Index

About

Simone Angioni is a leading researcher at the intersection of artificial intelligence and scholarly communication, with a core focus on knowledge graphs, conversational agents, and semantic technologies. Her most influential work, "Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain" (2023, 40+ citations), pioneers a novel framework that bridges natural language interfaces with structured knowledge representations, enabling researchers to query complex academic data through intuitive dialogue. This contribution addresses a critical gap in how scholars interact with vast, interconnected research outputs, making her a key figure in the emerging field of AI-enhanced scholarly infrastructure. Beyond this landmark paper, Angioni’s research consistently advances the practical deployment of semantic web technologies, with her work cited across computer science, digital libraries, and information retrieval communities. Her achievements include developing scalable methods for embedding domain-specific knowledge into conversational systems, directly impacting how institutions manage and disseminate research. By demonstrating that chatbots can reliably navigate scholarly knowledge graphs, Angioni has laid essential groundwork for next-generation research assistants, earning recognition as a transformative voice in the modernization of academic discovery.