I am Danilo an enthusiastic computer scientist. I am a Senior Researcher at the Knowledge Technologies for the Social Sciences Department at GESIS Leibniz Institute for the Social Sciences. I am curious about how things work and always interested to learn new ones. I like to push up myself to address more and more challenging tasks. I am building my carrier in computer science research areas such as Knowledge Graphs, Machine Learning, Semantic Web, and Sentiment Analysis which I have been working on for the last three years.
These are my previous experiences:
I got the B.Sc. (2014) and M.Sc. (2016) degrees in Computer Science at the University of Cagliari. In 2020, I received my Ph.D. from the same University.
My Ph.D. dissertation Knowledge Extraction from Textual Resources through Semantic Web Tools and Advanced Machine Learning Algorithms for Applications in Various Domains describes the use of Artificial Intelligence components to manipulate text data for the extraction of knowledge in the Healthcare, E-learning, Scholarly, and Biological domains.
From Academic Year 2015/2016 to 2018/2019 I was the academic tutor of the Computer Architecture course for the B.Sc. degree in Computer Science at the Department of Mathematics and Computer Science of the University of Cagliari.
From June to September 2016, I was in Eindhoven (The Netherlands) for an internship at the Data Science Department of Philips Research under the supervision of Sergio Consoli. With Dr. Sergio Consoli, I explored the IBM Watson framework for experimenting with its applications in the Healthcare domain.
From October 2016 to October 2019, I was a Ph.D. candidate at the Department of Mathematics and Computer Science of the University of Cagliari supervised by Professor Diego Reforgiato. My research activity mainly focuses on Machine Learning and Semantic Web technologies. I defended my thesis on February 26, 2020. During my Ph.D. studies, I had the opportunity to visit many research centers around the world. I was visiting student for 3 months in fall 2017 of Professor Dennis Shasha at the Center for Data Science of New York University. With the team of Professor Shasha, we developed a tool called Supernoder aimed at simplifying the search of patterns on biological networks. I was also visiting student of Professor Enrico Motta at the Knowledge Media Institute of the Open University from September to December 2018. From January 2019 to April 2019, I was visiting student at the LIPN in Paris under the supervision of Professor Davide Buscaldi. During these periods, I started working on text mining techniques that exploit both Machine Learning and Semantic Web technologies for extracting knowledge from scientific literature in order to build a scientific knowledge graph.
From January 2020 to November 2021 I was working as a PostDoc / Senior Researcher at FIZ Karlsruhe within the FIZ ISE team with Professor Harald Sack. From October 2021 to September 2022, I was a Researcher at the University of Cagliari where I was a Professor of the Computer Architecture course within the B.Sc. on Applied Informatics and Data Analytics. Nach oben
ForschungMy research interests include Artificial Intelligence, Information Extraction, Knowledge Graphs, Science of Science, and Semantic Web technologies. I have authored more than 35 peer-reviewed papers in top-tier international conferences (e.g., ISWC) and journals (e.g., Knowledge-based Systems and Future Generation Computer Systems). I regularly organize scientific events and special issues on these topics. One of the main outcomes of my research is the Computer Science Knowledge Graph (CS-KG), a large-scale automatically generated knowledge graph that describes more than 6.7M research papers with 10M entities about scientific areas within the computer science domain. CS-KG is designed to support a large variety of intelligent services such as analyzing and making sense of research dynamics, assisting researchers, and informing decisions of funding bodies and research policy makers.
All my publications and metrics are available here:
Please note that this web page only reports my publications from 2022 on. Nach oben
Borrego, Agustín, Danilo Dessi, Inma Hernández, Francesco Osborne, Diego Reforgiato Recupero, David Ruiz, Davide Buscaldi, and Enrico Motta. 2022. "Completing Scientific Facts in Knowledge Graphs of Research Concepts." IEEE Access 10 125867-125880. doi: https://doi.org/10.1109/ACCESS.2022.3220241.
Dessi, Danilo, and Diego Reforgiato Recupero. 2022. "LexTex: a framework to generate lexicons using WordNet word senses in domain specific categories." Journal of Intelligent Information Systems volume 59 (1): 21-44. doi: https://doi.org/10.1007/s10844-021-00679-0.
Dessi, Danilo, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, and Enrico Motta. 2022. "SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain." Knowledge-Based Systems 258 (22 December 2022): 109945. doi: https://doi.org/10.1016/j.knosys.2022.109945.Nach oben
Beitrag im Sammelwerk
Alonso, Rubén, Danilo Dessi, Antonello Meloni, and Diego Reforgiato Recupero. 2023. "A General and NLP-based Architecture to perform Recommendation: A Use Case for Online Job Search and Skills Acquisition." Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 936-938. doi: https://doi.org/10.1145/3555776.3577844.
Gangopadhyay, Susmita, Katarina Boland, Danilo Dessi, Stefan Dietze, Pavlos Fafalios, Andon Tchechmedjiev, Konstantin Todorov, and Hajira Jabeen. 2023. "Truth or Dare: Investigating Claims Truthfulness with ClaimsKG." In D2R2 2023: Linked Data-driven Resilience Research 2023: Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023), edited by Sebastian Tramp, Ricardo Usbeck, Natanael Arndt, Julia Holze, and Sören Auer, CEUR workshop proceedings 3401. Aachen: RWTH. https://ceur-ws.org/Vol-3401/paper7.pdf.
Dessi, Danilo, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, and Enrico Motta. 2022. "CS-KG: A large-scale knowledge graph of research entities and claims in computer science." In The Semantic Web – ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23–27, 2022, Proceedings, Lecture Notes in Computer Science 13489, 678-696. Cham: Springer. doi: https://doi.org/10.1007/978-3-031-19433-7_39.