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Mi 04.12.2019, 16:00-17:00 Uhr TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "System for cloud execution, semantic annotation, storage and querying of data mining experiments" (Ilin Tolovski)

Living in a data-driven society makes conducting different types of computational experiments a widespread practice in many organisations (e.g., industry, academia). This results in a production of computational models and experimental results at a higher volume than ever. Here arises the challenge of proper representation and storage of experimental setups, and results. Not handling this task adequately can significantly strain the time, computational and financial resources of an organisation. Having the complete workflow of a computational experiment represented by a semantic resource and stored accordingly can allow quick access to the experimental results, their verification and reproduction, as well as, reusability of its outputs (e.g., produced models).

We address this issues by creating FAIR (Findable, Accessible, Interoperable, Reusable) repositories of semantically annotated experiments in the domains of process-based modelling of dynamical systems and predictive data mining. To this end, we developed SemanticHub, a system that allows remote execution and automatic annotation of computational experiments. The system has two integrated machine learning software packages, ProBMoT and CLUS, which users can utilise to run experiments that will be semantically annotated and stored in our FAIR repositories. The annotations are stored on our servers, where the users can query completed experiments and explore their results through a dedicated UI. SemanticHub provides a structured view and open access to a repository of completed experiments and their results, allowing users to verify, and reproduce experimental results, as well as reuse the produced models.

Short Bio:
Ilin Tolovski was born on 17th of December, 1994 in Skopje, North Macedonia, where he finished his primary and secondary education. In July 2017, he obtained his BSc degree in Computer Technologies and Engineering at the Faculty of Electrical Engineering and Information Technologies at the Ss. Cyril and Methodius University in Skopje, North Macedonia. During the undergraduate studies, he completed internships in software development at InPay S.A., Warsaw, Poland and the Faculty of Computer Science at WH Zwickau, Germany. In September 2019, he obtained his MSc degree in Information and Communication Technologies at the Jozef Stefan International Postgraduate School in Ljubljana, Slovenia. During his stay at Jozef Stefan Institute, he worked mostly on the development of a system for remote execution, semantic annotation, storage and querying of machine learning experiments and models. He also worked on knowledge representation in domains such as, neurodegenerative diseases, process-based modelling of dynamical systems, and predictive data mining. His research is published at several conferences in the area of knowledge discovery, and intelligent systems.