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I am interested in artificial intelligence research and applications, and in particular in the areas of knowledge graphs, natural language processing and machine learning. I have worked on processing natural language instructions, on merging sensor data and policies for health and safety monitoring, and more recently on data validation. Previously I was a Research Fellow at the University of Southampton, and before that I obtained my PhD from the University of Edinburgh. I have also worked with several industrial partners as a consultant.
More info on my homepage: https://paolopareti.uk/
Areas of expertise
- Artificial Intelligence
- Knowledge Representation and Reasoning
- Machine Learning
- Natural Language Processing
- Graph Databases
- Crowdsourcing
Publications
- SHACL Satisfiability and Containment
Paolo Pareti, George Konstantinidis, Fabio Mogavero, Timothy J. Norman. ISWC 2020 - SHACL Constraints with Inference Rules
Paolo Pareti, George Konstantinidis, Timothy J. Norman, Murat Şensoy. ISWC 2019 - Vocabulary Alignment for Collaborative Agents: a Study with Real-World Multilingual How-to Instructions
Paula Chocron, Paolo Pareti. IJCAI-ECAI 2018 - Linking Data, Services and Human Know-How
Paolo Pareti, Ewan Klein and Adam Barker. ESWC 2016 - A Linked Data Scalability Challenge: Concept Reuse Leads to Semantic Decay
Paolo Pareti, Ewan Klein and Adam Barker. WebSci 2015 - Integrating Know-How into the Linked Data Cloud
Paolo Pareti, Benoit Testu, Ryutaro Ichise, Ewan Klein and Adam Barker. EKAW 2014