Carlo AlloccaVisiting Fellow
I started my PhD in KMi in October 2007.
My PhD research is in the Semantic Web field. In particular, I have investigated how to make explicit semantic relations between ontologies and evaluate their effects of "finding the most appropriate ontologies" through the Semantic Web search engine such as Watson.
My supervisors are Dr. Mathieu D'Aquin and Prof. Enrico Motta.
Keys: Semantic Web, Ontologies, Ontology Evolution, Semantic Relation Management, Semantic Web search engine, Background Knowledge, Knowledge Acquisition, Knowledge Reuse, Networked OntologiesTechnologies
03 Nov 2017
08 Jun 2016
Haleem, M., Ekuban, A., Antonini, A., Pagliara, S., Pecchia, L. and Allocca, C. (2023) Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis, Electronics, 12, pp. 1989, MDPI
Allocca, C., Jilali, S., Ail, R., Lee, J., Kim, B., Antonini, A., Motta, E., Schellong, J., Stieler, L., Haleem, M., Georga, E., Pecchia, L., Gaeta, E. and Fico, G. (2022) Toward a Symbolic AI Approach to the WHO/ACSM Physical Activity Sedentary Behavior Guideline, Applied Sciences, 12, MDPI
Allocca, C., Jilal, S., Ail, R., Lee, J., Kim, B., Antonini, A., Motta, E., Schellong, J., Stieler, L., Haleem, M., Georga, E., Pecchia, L., Gaeta, E. and Fico, G. (2022) Towards a Symbolic AI Approach to the WHO/ACSM Physical Activity & Sedentary Behaviour Guidelines, Applied Sciences, 12
Adamou, A., Brown, S., Barlow, H., Allocca, C. and d’Aquin, M. (2019) Crowdsourcing Linked Data on listening experiences through reuse and enhancement of library data, International Journal on Digital Libraries, 20, pp. 61-79
Liu, S., Allocca, C., d'Aquin, M. and Motta, E. (2017) TAA: A Platform for Triple Accuracy Measuring and Evidence Triples Discovering, Demo at The International Semantic Web Conference 2017