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, 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: Simone Angioni, Alessio Antonini, Gianluca Bardaro, Jason Carvalho, , Enrico Daga, Hakan Ezgi Kiziloz, Lucia Lupi, Alba Morales Tirado, Francesco Osborne, Ian Pulford, , Thiviyan Thanapalasingam
Projects
Technologies
News
11 Jan 2021
29 Oct 2020
05 Oct 2020
10 Sep 2020
01 Sep 2020
Publications
Dessi', D., Osborne, F., Recupero, D., Buscaldi, D., Motta, E. and Sack, H. (2020) AI-KG: an Automatically Generated Knowledge Graph of Artificial Intelligence, International Semantic Web Conference 2020, Online
Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) The AIDA Dashboard: Analysing Conferences with Semantic Technologies, 19th International Semantic Web Conference (ISWC 2020), Athens (Greece) - Virtual
Salatino, A.A., Osborne, F. and Motta, E. (2020) ResearchFlow: Understanding the Knowledge Flow between Academia and Industry, 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), Bolzano (Italy) (Online)
Morales Tirado, A., Daga, E. and Motta, E. (2020) Effective use of personal health records to support emergency services, EKAW 2020 - 22nd International Conference on Knowledge Engineering and Knowledge Management, Bolzano, Italy
Chiatti, A., Motta, E. and Daga, E. (2020) Towards a Framework for Visual Intelligence in Service Robotics:Epistemic Requirements and Gap Analysis, Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020)
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
