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: Agnese Chiatti, Angelo Antonio Salatino, Simone Angioni, Alessio Antonini, Gianluca Bardaro, Jason Carvalho, , Enrico Daga, Hakan Ezgi Kiziloz, Alba Morales Tirado, Francesco Osborne, Ian Pulford, , Thiviyan Thanapalasingam
Projects
Technologies
News
03 Dec 2021
28 Oct 2021
16 Sep 2021
27 Apr 2021
06 Apr 2021
Publications
Morales Tirado, A., Daga, E. and Motta, E. (2021) Reasoning on health condition evolution for enhanced detection of vulnerable people in emergency settings, K-CAP '21: Proceedings of the 11th on Knowledge Capture Conference, Virtual Event, USA
Meloni, A., Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2021) AIDA-Bot: A Conversational Agent to ExploreScholarly Knowledge Graphs, The International Semantic Web Conference, Online
Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2021) Assessing Scientific Conferences through Knowledge Graphs, Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, Virtual, Online
Nayyeri, M., Cil, G., Vahdati, S., Osborne, F., Kravchenko, A., Angioni, S., Salatino, A.A., Recupero, D., Motta, E. and Lehmann, J. (2021) Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain, IEEE Access, 9, pp. 116002-116014
Salatino, A.A., Osborne, F. and Motta, E. (2021) CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics, International Journal on Digital Libraries, pp. (Early Access)
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
