Biography
Giuseppe is Senior Data Scientist at GraphAware. He holds a Ph.D. in Computer Engineering from the Politecnico di Torino, where he explored Graph Representation Learning techniques to support the automatic building of Knowledge Graphs. In 10+ years he gained multidisciplinary experience in different areas, including research, software development, and communication both in academia and industry. He is passionate about Semantic Web, Machine Learning, and all the cutting-edge technologies to incorporate human knowledge into intelligent systems.
Talks
KGC 2022
2022 Talk: A Knowledge Graph-Based Approach To Named Entity Disambiguation For Healthcare Applications
This presentation will show how to leverage a Named Entity Disambiguation (NED) system to disambiguate named entities in the healthcare domain and combine multiple knowledge graphs and ontologies in a single valuable source of truth. Our approach incorporates node embeddings into the NED model, employing the KG structure for the training process. The tool can support different healthcare applications, including literature search and retrieval, clinical decision making, relational knowledge findings, chatbots for health assistance, and recommendation tools for patients and medical practitioners.
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