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Enrico Motta Member status icon

Professor of Knowledge Technologies
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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


27 Apr 2020

24 Apr 2020

14 Nov 2019

13 Nov 2019

07 Nov 2019

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Publications | Visit External Site for Details Publications | doi 

Chiatti, A., Bardaro, G., Bastianelli, E., , i., Mitra, P. and Motta, E. (2020) Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching, 9

Publications | Visit External Site for Details  

Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics, 1st Workshop on Scientific Knowledge Graphs, Lyon, France

Publications | Visit External Site for Details  

Daga, E. and Motta, E. (2019) Capturing themed evidence, a hybrid approach, Proceedings of the 18th International Conference on Knowledge Capture, Marina del Rey, California, United States

Publications | Visit External Site for Details  

Daga, E. and Motta, E. (2019) Challenging knowledge extraction to support the curation of documentary evidence in the humanities, Third International Workshop on Capturing Scientific Knowledge (Sciknow). Collocated with the tenth International Conference on Knowledge Capture (K-CAP), Los Angeles, California, USA

Publications | Visit External Site for Details Publications | Visit External Site for Details  

Daga, E., Meroño-Peñuela, A. and Motta, E. (2019) Modelling and Querying Lists in RDF. A Pragmatic Study, QuWeDa 2019: 3rd Workshop on Querying and Benchmarking the Web of Data, Auckland, New Zealand

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Tech Reports

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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

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Unsupervised data linking using a genetic algorithm
Techreport ID: kmi-11-02
Date: 2011
Author(s): Andriy Nikolov,Mathieu d'Aquin,Enrico Motta

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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

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Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

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