Dr Ioannis Magnisalis
Dr Ioannis Magnisalis
University Rank
Team Rank
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University Rank
Team Rank
Team Role
- Description
I work in EUropean Commission in the following tasks:
-Selection of tools to be deployed towards EC data strategy (e.g. open source and commercial like KNIME analytics, RapidMiner, Tableau, QLIK, PowerBI etc.)
-Application of specialised analytical tools, including R, Python, SQL, and NoSQL (e.g. MongoDB) to analyse large datasets from surveys and big data. Examples are current work on Eurobarometer surveys and surveys arround Covid-19.
-Evaluation of various technologies as reusable components and building blocks of the EC data platform (e.g. R, Python components, chatbot, ML algorithms etc.)
I specialize in metadata, semantic web, linked open data, and data analysis technological areas with emphasis on e-Learning and e-Government analytics. I collaborate as a research associate on e-Government R&D aspects with the Greek Open Source Software Organization (EL / LAK), the International University of Greece, and Aristotle University of Thessaloniki. My interests focus on the appropriate use and expansion of interdisciplinary and business semantic standards (ESCO, CPSV, IMS, BPMN, etc.) with the aim of managing open, linked and big data in e-Government and education.
In the context of relevant European and Greek National projects, I contribute with expertise in projects (national and EU funded) on using IMAPS (Interoperability Maturity Assessment of a Public Service) tool.
- Research Area
- CVs
- Latest Publications
Konstantinidis, I., Maragoudakis, M., Magnisalis, I., Berberidis, C., & Peristeras, V. (2022, September). Knowledge-driven Unsupervised Skills Extraction for Graph-based Talent Matching. In Proceedings of the 12th Hellenic Conference on Artificial Intelligence (pp. 1-7). ISO 690
Anagnostou, M., Karvounidou, O., Katritzidaki, C., Kechagia, C., Melidou, K., Mpeza, E., ... & Peristeras, V. (2022). Characteristics and challenges in the industries towards responsible AI: a systematic literature review. Ethics and Information Technology, 24(3), 37. ISO 690
Shah, S. I. H., Peristeras, V., & Magnisalis, I. (2021). DaLiF: a data lifecycle framework for data-driven governments. Journal of Big Data, 8(1), 1-44
Shah, S. I. H., Peristeras, V., & Magnisalis, I. (2021). Government big data ecosystem: definitions, types of data, actors, and roles and the impact in public administrations. ACM Journal of Data and Information Quality, 13(2), 1-25.
Shah, S. I. H., Peristeras, V., & Magnisalis, I. (2020). Government (Big) data ecosystem: definition, classification of actors, and their roles. International Journal of Computer and Information Engineering, 14(4), 102-114.
MPHIL, S. I. H. S. (2020). A Fake News Classification Framework: Application On Immigration Cases. Communication Today, 11(2), 118-131.
Samara, D., Magnisalis, I., & Peristeras, V. (2020). Artificial intelligence and big data in tourism: a systematic literature review. Journal of Hospitality and Tourism Technology, 11(2), 343-367.
Magnisalis, I., & Demetriadis, S. (2019). Flexible Orchestration of Tools in E-Collaboration: Case Studies Analyzing the Developer, the Teacher, and the Student Perspectives. In Handbook of Research on Technology Integration in the Global World (pp. 208-232). IGI Global.
Gerontas, A., Peristeras, V., Tambouris, E., Kaliva, E., Magnisalis, I., & Tarabanis, K. (2019). Public Service Models: a systematic literature review and synthesis. IEEE Transactions on Emerging Topics in Computing, 9(2), 637-648.
