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: EKAW 2020 - 22nd International Conference on Knowledge Engineering and Knowledge Management, 16-18 Sep 2020, Bolzano, Italy.

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, 9-12 Sep 2019, Oslo, Norway.

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 (ISWC) 2018, 8-12 Oct 2018, Monterey, CA, USA.

Salatino, Angelo A., Osborne, Francesco and Motta, Enrico ,(2018). AUGUR: Forecasting the Emergence of New Research Topics. In: JCDL ’18: The 18th ACM/IEEE Joint Conference on Digital Libraries, 3-7 Jun 2018, Fort Worth, TX, USA.

Osborne, Francesco and Motta, Enrico ,(2015). Klink-2: integrating multiple web sources to generate semantic topic networks. In: 14th International Semantic Web Conference 2015, 11-15 Oct 2015, Bethlehem, PA.

Tiddi, Ilaria, d'Aquin, Mathieu and Motta, Enrico ,(2014). Dedalo: looking for clusters explanations in a labyrinth of Linked Data. In: 11th ESWC 2014, 25-29 May 2014, Crete, Greece.

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, 26-30 May 2014, Montpellier, France.

Projects

AquaLogAugurCityLABSclimateprediction.netCORDERDedaloDiscOUESpotterEvolvaFindLErFLORGarden MonitorGATEKEEPERHypermedia DiscourseInternet Reasoning Service (IRS)KANNELKC-VizKCEKnoFussLearning Experience Database (LED)Listening Experience DatabaseMagpieMK:5GMnMOCMLOntoWeaverPhiloSURFicalPlanetOntoPOLIFONIAPolifoniaPowerAquaPowerMagpieRexploreSciRocSemSearchSmart Topic MinerSupporting Editorial Activities at Springer NatureThe KMi semantic webUniversity for Industry ObservatoryWatsonWebOnto

Themes

Artificial Intelligence and Data Analysis

Topics

Science and scholarly communication

Urban and Smart living (incl Robotics)

Groups

Intelligent Systems and Data Science (ISDS)

Visit Personal Website