Luma Oliveira Lombello

Universidade Estadual de Campinas (UNICAMP)

Papers

Total Citations

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About

Luma Oliveira Lombello is a researcher whose work lies at the intersection of human-computer interaction, knowledge representation, and socioenactive systems. Her most influential contribution, "Collaborative Meaning Construction in Socioenactive Systems: Study with the mBot" (2019, 17 citations), explores how groups of people collaboratively build understanding through interaction with autonomous robots—a study that has become a touchstone for researchers examining the social dynamics of human-robot collaboration. Lombello also advances the field of ontology engineering, proposing "Soft Ontologies as Fuzzy RDF Statements" (2019, 2 citations), which introduces flexible knowledge representation models that adapt to evolving interrelationships over time—a critical innovation for dynamic information systems. Her "Metamodel for Bridging Heterogeneous Ontologies" (2020, 2 citations) further addresses the challenge of integrating diverse knowledge structures into computer-interpretable formats. Lombello’s work is notable for bridging theoretical frameworks with tangible, interactive systems, offering practical insights for designing technologies that support collaborative meaning-making. Her research continues to influence scholars working at the nexus of artificial intelligence, robotics, and social computing.