Member
Enrico Motta
Professor of Knowledge Technologies
+44 (0)1908 653506
I lead the KMi's Intelligent Systems and Data Science research group, which carries out research in a variety of areas relevant to the development of user-centric, intelligent, data-intensive solutions, including Data Science, Semantic Web Technologies, Visual Analytics, Robotics, Large-Scale Data Infrastructures, Internet of Things, Machine Learning, Human-Computer Interaction and others. Application domains include (but are not limited to) Smart Cities, News Analytics, Scholarly Data and Digital Humanities and Learning.
Keys: Knowledge Technologies, Semantic Technologies, Semantic Web, Smart Cities, Big Data, Visual Analytics, Scholarly Data, Problem Solving Methods
Team: Alessio Antonini, Gianluca Bardaro, Jason Carvalho, Agnese Chiatti, Enrico Daga, Alba Morales Tirado, Francesco Osborne, Angelo Antonio Salatino
Projects
Technologies
News
28 Oct 2022
24 Oct 2022
01 Sep 2022
13 Jun 2022
27 May 2022
Publications
Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2022) Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature, 21st International Semantic Web Conference, ISWC 2022, Hangzhou, China
Dessí, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2022) CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science, ISWC, Online
Morales Tirado, A., Daga, E. and Motta, E. (2022) Towards a Knowledge Graph of Health Evolution, 23rd International Conference on Knowledge Engineering and Knowledge Management, Bozen-Bolzano, Italy
Dessí, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2022) SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain, Knowledge-Based Systems, Elsevier
Chiatti, A., Bardaro, G., Motta, E. and Daga, E. (2022) A Spatial Reasoning Framework for Commonsense Reasoning in Visually Intelligent Agents, Proceedings of the 8th International Workshop on Artificial Intelligence and Cognition (AIC 2022), Ćrebro, Sweden
Tech Reports
Describing semantic web applications through relations between data nodes
Techreport ID: kmi-14-05
Date: 2014
Author(s): Enrico Daga,Mathieu d'Aquin,Aldo Gangemi,Enrico Motta
Unsupervised data linking using a genetic algorithm
Techreport ID: kmi-11-02
Date: 2011
Author(s): Andriy Nikolov,Mathieu d'Aquin,Enrico Motta
Probabilistic Methods for Data Integration in a Multi-Agent Query Answering System
Techreport ID: kmi-08-05
Date: 2008
Author(s): Miklos Nagy, Maria Vargas-Vera, Enrico Motta
