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Milosh Jovanovikj

Dr.

Research Areas

  • Data Engineering, Open Data, Information and Knowledge Engineering, Ontologies, Semantic Web, Linked Data, Knowledge Graphs
Milosh Jovanovikj

About

My research interest is in the domain of Knowledge Graphs (KGs) and their entire life-cycle: modeling, construction, enrichment and refinement, KG-based algorithms, KG-based data analytics and KG-based AI. I also have a strong research background in Knowledge Representation, Data Science, NLP and Applied AI. My research experience comes both from academia and the industry. Through both of these branches, I've taken an active and leading role in 10+ international and 25+ national research projects, I've published 60+ research papers and co-authored 3 books.

Role

Contact

2026W

 

  • MetriKG: Profiling Static and Evolving Knowledge Graphs / Günes, H. H., Jovanovik, M., & Hose, K. (2026). MetriKG: Profiling Static and Evolving Knowledge Graphs. In H. Hacid & Y. Maarek (Eds.), WWW Companion ’26: Companion Proceedings of the ACM Web Conference 2026 (pp. 200–203). Association for Computing Machinery. https://doi.org/10.1145/3774905.3793136
    Download: PDF (1.35 MB)
    Projects: DORSET (2026–2029) / TARGET (2024–2028)
  • Towards LLM-KG Symbiosis for Reducing Factual Hallucinations / Dolci, T., Jovanovik, M., & Hose, K. (2026). Towards LLM-KG Symbiosis for Reducing Factual Hallucinations. In A. Krause & J. F. Pimentel (Eds.), EDBT/ICDT 2026 Workshops : Proceedings of the Workshops of the EDBT/ICDT 2026 Joint Conference co-located with the EDBT/ICDT 2026 Joint Conference. CEUR-WS.org. https://doi.org/10.34726/12041
    Download: PDF (1.02 MB)
    Project: ARMADA (2025–2029)
  • RDFGraphGen: An RDF Graph Generator Based on SHACL Shapes / Jovanovik, M., Vecovska, M., Jakubowski, M., & Hose, K. (2026). RDFGraphGen: An RDF Graph Generator Based on SHACL Shapes. In Knowledge Graphs : 14th International Joint Conference, IJCKG 2025, Heraklion, Crete, Greece, October 15–17, 2025, Proceedings (pp. 111–125). Springer. https://doi.org/10.1007/978-981-95-5009-8_8
    Project: TARGET (2024–2028)
  • SEOntology: A Domain Ontology for Semantic Modeling of Search Engine Optimization Workflows / Gjorgjevska, E., Riccitelli, D., Jovanovik, M., & Volpini, A. (2026). SEOntology: A Domain Ontology for Semantic Modeling of Search Engine Optimization Workflows. In Bridging the Gap Between Curated and Induced Semantics : Proceedings of the 22nd International  Conference on Semantic Systems,  15-17 September 2026, Ghent, Belgium (pp. 2–18). IOS Press. https://doi.org/10.3233/SSW260003
    Download: PDF (942 KB)
  • Reducing LLM Hallucinations with Knowledge Graphs: A Survey / Dolci, T., Jovanovik, M., & Hose, K. (2026). Reducing LLM Hallucinations with Knowledge Graphs: A Survey. HAL (open archive). https://doi.org/10.34726/12684
    Download: PDF (4.11 MB)
    Project: ARMADA (2025–2029)
  • RDFGraphGen: An RDF Graph Generator based on SHACL Shapes / Jovanovik, M., Vecovska, M., Jakubowski, M., & Hose, K. (2025). RDFGraphGen: An RDF Graph Generator based on SHACL Shapes. arXiv. https://doi.org/10.48550/arXiv.2407.17941
  • Towards Generating Synthetic EHR Knowledge Graphs – a Probabilistic Approach / Jovanovik, M., Milenkova, E., Jakubowski, M., & Hose, K. (2025). Towards Generating Synthetic EHR Knowledge Graphs – a Probabilistic Approach. In M. Dojchinovski & B. Spahiu (Eds.), Proceedings of the 1st GOBLIN Workshop on Knowledge Graph Technologies. https://doi.org/10.5281/zenodo.16912250
    Download: Published Paper (279 KB)
    Project: TARGET (2024–2028)
  • SynMed EHR Generator: Synthesizing Knowledge Graphs for Healthcare Research / Jovanovik, M., & Milenkova, E. (2025, February 10). SynMed EHR Generator: Synthesizing Knowledge Graphs for Healthcare Research [Poster Presentation]. 1st Plenary Meeting of the GOBLIN COST Action, Prague, Czechia.
  • Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data / Stojanov, R., Jovanovik, M., Gramatikov, S., Mishkovski, I., Zdravevski, E., Sasanski, D., Karapancheva, Z., Spasovski, G., Vasileska, I., Eftimov, T., Zhuojun, W., Jankowski, J., & Trajanov, D. (2025). Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data. Proteomics, Article e202400135. https://doi.org/10.1002/pmic.202400135
    Download: PDF (970 KB)
  • Best Student Research Paper Award
    2026 / Research and Innovation Track at SEMANTiCS 2026 / Belgium / Website

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Milosh Jovanovikj’s research profile in TISS .