Schloss Birlinghoven, 53757 Sankt Augustin, Germany
Dr. Giulio Napolitano is a senior researcher and competence area leader (QA and Dialogue Systems) at the “Enterprise Information Systems” department at Fraunhofer IAIS, as well as Question Answering team leader at UniBonn Smart Data Analytics group. He is currently leading or involved in various research projects funded by the industry, by national bodies and the EU. Prior to joining Fraunhofer, he was a senior scientist at Bonn University Clinic and a researcher and senior IM&T Officer at the Centre for Public Health, Queen’s University Belfast. While there, he was awarded the 2014 Excellence in Innovation Award and the 2008 Innovation in Oncology Award. Previously, he had gained software engineering experience with Siemens Medical Solutions in Rome. His current research interests include semantic technologies, question answering, natural language processing and analysis and machine learning. More broadly, his research interests span from philosophy of science and epistemology to mathematical modelling for medicine, medical informatics and epidemiology. Among other things, he studied Philosophy, Physics and Astrophysics, Bioinformatics and Applied Mathematics.
- Big Data
- Medical and Biomedical Informatics
- Machine Learning
- Information extraction
- Knowledge Representation
In: Semantic Systems. In the Era of Knowledge Graphs - 16th International Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands, September 7-10, 2020, Proceedings, pp. 104–117, Springer, 2020.
In: Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018, Heraklion, Greece, June 3-7, 2018, Revised Selected Papers, pp. 69–75, Springer, 2018.
In: The Semantic Web - 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3-7, 2018, Proceedings, pp. 714–728, Springer, 2018.
In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III, pp. 635–638, Springer, 2018.
In: 12th IEEE International Conference on Semantic Computing, ICSC 2018, Laguna Hills, CA, USA, January 31 - February 2, 2018, pp. 278–281, IEEE Computer Society, 2018.
In: Joint proceedings of the 4th Workshop on Semantic Deep Learning (SemDeep-4) and NLIWoD4: Natural Language Interfaces for the Web of Data (NLIWOD-4) and 9th Question Answering over Linked Data challenge (QALD-9) co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, California, United States of America, October 8th - 9th, 2018, pp. 51–57, CEUR-WS.org, 2018.
In: Journal of Child and Family Studies, pp. 1–9, 2017.
In: Psychiatry Research: Neuroimaging, vol. 259, pp. 16–24, 2017.
The Biological Metaphors of Scientific Change Book Chapter
In: The Kuhnian Image of science: time for a decisive transformation?, Rowman Littlefield International, London, 2017.
In: Current Trends in Web Engineering - ICWE 2017 International Workshops, Liquid Multi-Device Software and EnWoT, practi-O-web, NLPIT, SoWeMine, Rome, Italy, June 5-8, 2017, Revised Selected Papers, pp. 191–199, Springer, 2017.
In: Semantic Web Challenges - 4th SemWebEval Challenge at ESWC 2017, Portoroz, Slovenia, May 28 - June 1, 2017, Revised Selected Papers, pp. 59–69, Springer, 2017.
In: Nature Climate Change, vol. 6, no. 3, pp. 311–316, 2016.
In: Environmental Communication, pp. 1–17, 2016.
In: Artif. Intell. Medicine, vol. 70, pp. 77–83, 2016.
In: Academy of Management Proceedings, pp. 15344, Academy of Management 2015.
Towards a data science collaboratory Journal Article
In: Lecture Notes in Computer Science (IDA 2015), vol. 9385, 2015.
In: Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), Porto, Portugal, September 7th, 2015, pp. 112–114, CEUR-WS.org, 2015.
In: Accounting Forum, pp. 241–257, Elsevier 2014.
Canstaging: The Online Tool Facilitating The International Availability, Standardisation And Comparison Of Cancer Staging Journal Article
In: Asia-pacific Journal of Clinical Oncology, vol. 10, pp. 176, 2014.
Ontology-based information extraction from pathology reports for cancer registration PhD Thesis
Queen's University Belfast, 2014.
In: Histopathology, vol. 62, no. 5, pp. 752–763, 2013.
Evolutionary Analogies: Is the Process of Scientific Change Analogous to the Organic Change? Book
Cambridge Scholars Publishing, 2011.
In: Behav. Inf. Technol., vol. 30, no. 4, pp. 473–477, 2011.
In: European Business Review, vol. 22, no. 4, pp. 377–396, 2010.
In: British journal of cancer, vol. 102, no. 9, pp. 1415, 2010.
In: Cancer Causes & Control, vol. 21, no. 11, pp. 1887–1894, 2010.
In: Academy of Management Proceedings, pp. 1–6, Academy of Management 2009.
In: The Journal of Urology, vol. 181, no. 4, 2009.
In: European Urology Supplements, vol. 8, no. 4, pp. 193, 2009.
Biomedical Ontologies and Grid Computing - As New Resources for Cancer Registries Inproceedings
In: Proceedings of the Second International Conference on Health Informatics, HEALTHINF 2009, Porto, Portugal, January 14-17, 2009, pp. 512–517, INSTICC Press, 2009.
Ontology-based text mining of pathology reports for cancer patients Journal Article
Methods of calculating prostate-specific antigen velocity Journal Article
In: European urology, vol. 52, no. 4, pp. 1044–1051, 2007.
CALCULATING PSA VELOCITY--THE SECRET OF SUCCESS? REGRESS! Journal Article
In: European Urology Supplements, vol. 5, no. 2, pp. 238, 2006.
In: The Annals of The Royal College of Surgeons of England, vol. 88, no. 6, pp. 550–553, 2006.
Electronic data protection: procedures need drastic improvement Journal Article
In: BMJ: British Medical Journal, vol. 330, no. 7490, pp. 537, 2005.