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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.

Research Group: https://isds.kmi.open.ac.uk/

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

News

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04 Dec 2025


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27 Nov 2025


23 Jan 2025

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Publications

Murgia, M., Dessi, D., Osborne, F., Buscaldi, D., Motta, E. and Recupero, D.R. (2025). CiteGen: A Web Application for Citation Recommendation Powered by LLMs and Knowledge Graphs. In: The Semantic Web: ESWC 2025 Satellite Events, 01-05 Jun 2025, Portoroz, Slovenia. https://oro.open.ac.uk/107360/.

Cadeddu, A., Chessa, A., De Leo, V., Fenu, G., Motta, E., Osborne, F., Reforgiato Recupero, D., Salatino, A. and Secchi, L. (2025). A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals. IEEE Access, 13 pp. 175271–175291. https://oro.open.ac.uk/106905/.

Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2026). Large language models for scholarly ontology generation: An extensive analysis in the engineering field. Information Processing & Management, 63(1), https://oro.open.ac.uk/105868/.

Meloni, A., Reforgiato Recupero, D., Osborne, F., Salatino, A.A., Motta, E., Vahadati, S. and Lehmann, J. (2025). Exploring Large Language Models for Scientific Question Answering via Natural Language to SPARQL Translation. ACM Transactions on Intelligent Systems and Technology (Early access). https://oro.open.ac.uk/105679/.

Cadeddu, A., Chessa, A., De Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D.R., Salatino, A. and Secchi, L. (2025). Benchmarking Large Language Models for Sustainable Development Goals Classification: Evaluating In-Context Learning and Fine-Tuning Strategies. In: 3rd International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data (SemTech4STLD 2025), 01 Jun 2025, Portoroz, Slovenia. https://oro.open.ac.uk/105343/.

Motta, E., Daga, E., Gangemi, A., Gjelsvik, M.L., Osborne, F. and Salatino, A. (2025). The Epistemology of Fine-Grained News Classification. Semantic Web, 16(3), https://oro.open.ac.uk/104622/.

Dessí, D., Osborne, F., Buscaldi, D., Reforgiato Recupero, D. and Motta, E. (2025). CS-KG 2. 0: A Large-scale Knowledge Graph of Computer Science. Scientific Data, 12(1), https://oro.open.ac.uk/104624/.

Presutti, V., Motta, E. and Sabou, M. (2025). Opportunities for Knowledge Graphs in the AI landscape - An application-centric perspective. Journal of Web Semantics (Early access). https://oro.open.ac.uk/104426/.

Meloni, A., Recupero, D.R., Osborne, F., Salatino, A., Motta, E., Vahadati, S. and Lehmann, J. (2025). Assessing Large Language Models for SPARQL Query Generation in Scientific Question Answering. In: ISWC 2024 Special Session on Harmonising Generative AI and Semantic Web Technologies,, 13 Nov 2024, Baltimore, Maryland, USA. https://oro.open.ac.uk/104247/.

Salatino, A., Aggarwal, T., Mannocci, A., Osborne, F. and Motta, E. (2025). A survey of knowledge organization systems of research fields: Resources and challenges. Quantitative Science Studies, 6 pp. 567–610. https://oro.open.ac.uk/103702/.

Borrego, A., Dessì, D., Ayala, D., Hernández, I., Osborne, F., Recupero, D.R., Buscaldi, D., Ruiz, D. and Motta, E. (2025). Research hypothesis generation over scientific knowledge graphs. Knowledge-Based Systems, 315 https://oro.open.ac.uk/103220/.

Innominato, P., Macdonald, J., Saxton, W., Longshaw, L., Granger, R., Naja, I., Allocca, C., Edwards, R., Rasheed, S., Folkvord, F., de Batle, J., Ail, R., Motta, E., Bale, C., Fuller, C., Mullard, A., Subbe, C., Griffiths, D., Wreglesworth, N., Pecchia, L., Fico, G. and Antonini, A. (2024). Digital remote monitoring using a mobile health solution in cancer survivors: an observational pilot trial protocol. JMIR Research Protocols, 12 https://oro.open.ac.uk/102625/.

Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2024). Identifying Semantic Relationships Between Research Topics Using Large Language Models in a Zero-Shot Learning Setting. In: 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, Sci-K 2024, 12 Nov 2024, Baltimore. https://oro.open.ac.uk/101266/.

Motta, E., Osborne, F., Pulici, M.M., Salatino, A. and Naja, I. (2024). Capturing the Viewpoint Dynamics in the News Domain. In: Proceedings of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24), 26-28 Nov 2024, Amsterdam, Netherlands. https://oro.open.ac.uk/100046/.

Pisu, A., Pompianu, L., Salatino, A., Osborne, F., Riboni, D., Motta, E. and Reforgiato Recupero, D. (2024). Classifying Scientific Topic Relationships with SciBERT. In: Joint Proc. of Posters, Demos, Workshops, and Tutorials of the 20th Int.l Conf. on Semantic Systems (SEMANTiCS 2024), 17-19 Sep 2024, Amsterdam. https://oro.open.ac.uk/100269/.

Pisu, A., Pompianu, L., Salatino, A., Osborne, F., Riboni, D., Motta, E. and Recupero, D.R. (2024). Leveraging Language Models for Generating Ontologies of Research Topics. In: Text2KG 2024: International Workshop on Knowledge Graph Generation from Text, 28 May 2024, Hersonissos, Crete, Greece. https://oro.open.ac.uk/99938/.

Beetz, M., Cimiano, P., Kümpel, M., Motta, E., Tiddi, I. and Töberg, J.P. (2024). Transforming Web Knowledge into Actionable Knowledge Graphs for Robot Manipulation Tasks. In: ESWC 2024 Workshops and Tutorials Joint Proceedings, 26-27 May 2024, Heraklion, Greece. https://oro.open.ac.uk/99936/.

Bolanos Burgos, F., Salatino, A., Osborne, F. and Motta, E. (2024). Artificial intelligence for literature reviews: opportunities and challenges. Artificial Intelligence Review, 57(9), https://oro.open.ac.uk/99294/.

Cadeddu, A., Chessa, A., De Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D.R., Salatino, A. and Secchi, L. (2024). Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. Information, 15(7), https://oro.open.ac.uk/98107/.

Lehmann, J., Meloni, A., Motta, E., Osborne, F., Recupero, D.R., Salatino, A.A. and Vahdati, S. (2024). Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. In: ESWC 2024, 26-30 May 2024, Hersonissos, Greece. https://oro.open.ac.uk/98409/.

Tech Reports

View AbstractDownload PDF

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

View AbstractDownload PDF

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

View AbstractDownload PDF

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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