Papers
7
Total Citations
92
H-Index
5
About
Aldo Gangemi is a leading researcher at the intersection of artificial intelligence, knowledge engineering, and human-robot interaction, with a particular focus on cognitive robotics and healthcare applications. His work centers on developing ontology-based knowledge management systems and dialogue frameworks that enable socially assistive robots to interact meaningfully with vulnerable populations, especially patients with dementia. Gangemi’s major contributions include pioneering the use of ontology design patterns for behavior arbitration in cognitive agents, and creating novel methods for semantic reconciliation and knowledge graph generation from natural language text using tools like FRED and MERGILO. His most cited work, "Dialogue Systems and Conversational Agents for Patients with Dementia" (49 citations), establishes foundational principles for human-robot spoken dialogue in assistive contexts. He has also advanced personalized reminiscence therapy through knowledge-driven support on companion robots, and developed the SitLog framework for generating first-person robot experience narratives. With over 90 citations across his key publications, Gangemi’s research bridges semantic web technologies and embodied AI, offering practical solutions for cognitive assistance and demonstrating how structured knowledge can empower robots to tell their own stories.
Research Focus
Key Achievements
Top Papers
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- 3Merging open knowledge extracted from text with MERGILO10 citations · 2016
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- 6Knowledge-Driven Support For Reminiscence On Companion Robots4 citations · 2017
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