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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, 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, , Enrico Daga, Audrey Ekuban, , Francesco Osborne, Angelo Antonio Salatino, Riccardo Pala, Iman Naja

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Publications

Publications | Visit External Site for Details  

Motta, E., Osborne, F., Pulici, M., Salatino, A. and Naja, I. (2024) Capturing the Viewpoint Dynamics in the News Domain, Proceedings of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24), Amsterdam, Netherlands

Publications | Download PDF Publications | Visit External Site for Details  

Pisu, A., Pompianu, L., Salatino, A., Osborne, F., Riboni, D., Motta, E. and Recupero, D. (2024) Classifying Scientific Topic Relationships with SciBERT, Joint Proc. of Posters, Demos, Workshops, and Tutorials of the 20th Int.l Conf. on Semantic Systems (SEMANTiCS 2024), Amsterdam

Publications | Visit External Site for Details Publications | doi 

Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2024) Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies, Information, 15

Publications | Visit External Site for Details Publications | doi 

Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2024) A comparative analysis of knowledge injection strategies for large language models in the scholarly domain, 133, Elsevier

Publications | Visit External Site for Details  

Lehmann, J., Meloni, A., Motta, E., Osborne, F., Recupero, D., Salatino, A.A. and Vahdati, S. (2024) Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark, ESWC 2024, Hersonissos, Greece

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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
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