Prof Enrico Motta

Professor of Knowledge Technologies

I lead the Intelligent Systems and Data Science research group in KMi, which carries out research in a variety of areas relevant to the development of user-centric, intelligent, data-intensive solutions. These include Artificial Intelligence (AI), Intelligent Systems, Data Science, Semantic Web Technologies, Visual Analytics, Cognitive Robotics, Machine Learning, Human-Computer Interaction and others. Application domains include (but are not limited to) Smart Cities, Scholarly Data, Media Analytics, and Digital Humanities.

Keywords

Knowledge Technologies, Artificial Intelligence, Cognitive Robotics, Semantic Technologies, Semantic Web, Smart Cities, Big Data, Visual Analytics, Scholarly Data


Publications

Dessì, Danilo,Osborne, Francesco, Reforgiato Recupero, Diego,Buscaldi, Davide and Motta, Enrico(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.

Chiatti, Agnese, Motta, Enrico and Daga, Enrico(2020). Towards a Framework for Visual Intelligence in Service Robotics:Epistemic Requirements and Gap Analysis. In: Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), 12-18 Sep 2020.

Morales Tirado, Alba, Daga, Enrico and Motta, Enrico(2020). Effective use of personal health records to support emergency services. In: Knowledge Engineering and Knowledge Management. EKAW 2020 (Keet, C. M. and Dumontier, M. eds.), Lecture Notes in Computer Science, pp. 54–70.

Salatino, Angelo, Osborne, Francesco, Thanapalasingam, Thiviyan and Motta, Enrico(2019). The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles. In: TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries, Lecture Notes in Computer Science, Springer, pp. 296–311.

Warren, Paul , Mulholland, Paul, Collins, Trevor and Motta, Enrico(2019). Improving comprehension of Knowledge Representation languages: a case study with Description Logics. International Journal of Human-Computer Studies, 122 pp. 145–167.

Osborne, Francesco and Motta, Enrico(2018). Pragmatic Ontology Evolution: Reconciling User Requirements and Application Performance. In: 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018, Proceedings, Part I (Vrandečić, Denny; Bontcheva, Kalina; Suárez-Figueroa, Mari Carmen; Presutti, Valentina; Celino, Irene; Sabou, Marta; Kaffee, Lucie-Aimée and Simperl, Elena eds.), Springer, Cham, 11136 pp. 495–512.

Salatino, Angelo A., Osborne, Francesco and Motta, Enrico(2018). AUGUR: Forecasting the Emergence of New Research Topics. In: JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, ACM, New York, NY, USA pp. 303–312.

Osborne, Francesco and Motta, Enrico(2015). Klink-2: integrating multiple web sources to generate semantic topic networks. In: The Semantic Web - ISWC 2015 (Part 1), Lecture Notes in Computer Science, Springer International Publishing, Cham, pp. 408–424.

Tiddi, Ilaria , d'Aquin, Mathieu and Motta, Enrico(2014). Dedalo: looking for clusters explanations in a labyrinth of Linked Data. In: The Semantic Web: Trends and Challenges: 11th International Conference, ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014. Proceedings, Lecture Notes in Computer Science, Springer International Publishing, pp. 333–348.

Osborne, Francesco, Scavo, Beppe and Motta, Enrico(2014). Identifying diachronic topic-based research communities by clustering shared research trajectories. In: Extended Semantic Web Conference 2014 (ESWC 2014) - Research Track, pp. 114–129.