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Enrico MottaMember 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: 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

News

27 Apr 2021


06 Apr 2021


23 Feb 2021


11 Jan 2021


29 Oct 2020

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Publications

Publications | Visit External Site for Details Publications | doi 

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, pp. (Early Access)

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

Larasati, R., De Liddo, A. and Motta, E. (2021) AI Healthcare System Interface: Explanation Design for Non-Expert User Trust, ACM IUI 2021. Workshop 7: Transparency and Explanations in Smart Systems - TExSS

Publications | Visit External Site for Details  

Chiatti, A., Motta, E., Daga, E. and Bardaro, G. (2021) Fit to Measure: Reasoning about Sizes for Robust Object Recognition, Proceedings of the AAAI2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), International Virtual Event

Publications | Visit External Site for Details  

Danilo, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2021) Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain, Future Generation Computer Systems, 116, pp. 253-264

Publications | Visit External Site for Details  

Daga, E., Meroño-Peñuela, A. and Motta, E. (2021) Sequential Linked Data: the State of Affairs, pp. (In press)

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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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CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

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