Milan Dojchinovski
Research Associate
Prague, Prague, Czechia
Summary
👤
Senior🎓
Top SchoolMilan Dojchinovski is a Research Associate and semantic web engineer with 14 years' experience building web services, knowledge extraction pipelines and Linked Data solutions, currently contributing to the DBpedia knowledge graph within the AKSW/KILT research groups. He combines academic rigor as a PhD-level researcher and assistant professor with hands-on engineering across JavaEE, NodeJS, RDF/OWL, SPARQL and RESTful APIs, and has led EU projects such as H2020 FREME while contributing to H2020 ALIGNED and FP7 LOD2/LinkedTV. Milan’s open-source impact includes backend contributions to DBpedia’s widely used extraction framework, notably adapting extractors for Czech, Macedonian and Bulgarian Wikipedias and improving disambiguation handling. He bridges research and production: modeling BPMN/UML processes, deploying services on GlassFish/WebLogic, and integrating ML/NLP techniques for knowledge extraction. Notably, his profile blends deep Semantic Web expertise with practical SOA and enterprise mashup experience—making him adept at turning complex linked-data research into deployable services.
14 years of coding experience
3 years of employment as a software developer
Ing., Computer and Information Science, Ing., Computer and Information Science at Univerza v MariboruPh.D., Informatics, Ph.D., Informatics at Czech Technical University in Prague
Macedonian, English, Czech, Slovenian, Serbian, Croatian, Bulgarian
Github Skills (4)
data-extraction10
wikipedia10
configuration-management10
scala10
Programming languages (10)
Github contributions (5)
dbpedia/extraction-framework
Apr 2020 - May 2022
The software used to extract structured data from Wikipedia
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 commits, 19 pushes, 32 comments in 2 years 1 month
Contributions summary:Milan primarily contributed to the extraction-framework by modifying configurations and code related to data extraction from Wikipedia. Their work included updating and adapting configurations for multiple extractors, focusing on language-specific adaptations, particularly for Czech, Macedonian, and Bulgarian Wikipedias. They addressed issues related to missing types in the system and optimized the handling of disambiguation pages.
pythonstructured-datastructuredwikipedia
entityclassifier-eu/entityclassifier-rest
Dec 2013 - Apr 2015
Contributions:23 commits, 12 pushes, 1 comment in 1 year 4 months
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