Milan Dojchinovski

Milan Dojchinovski
Depiction of Milan Dojchinovski
Address Work
Hainstraße 11, 04109 Leipzig
Email Office
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+49-341-229037-99

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About

Milan Dojchinovski is a research associate at the Knowledge Integration and Linked Data Technologies KILT at the AKSW. He joined the AKSW group in March 2015 and is a project manager of the H2020 FREME project. His research interests are in Semantic Web, Web services, NLP and Data Integration technologies. Milan has 10+ years experience in the computer industry in Germany, Czech Republic and Slovenia. He has previously been involved in the LOD2 and LinkedTV FP7 European projects. Milan is the author of 20+ peer-reviewed scientific publications. Milan is member of the W3C LD4LT and Open Annotation groups. He holds a MSc. degree in Computer Science from the University of Maribor in Slovenia. Milan is also affiliated with the Czech Technical University in Prague where he holds position of an Assistant Professor and he works on his PhD thesis with focus on Linked Data Access and Knowledge Extraction mechanisms.

Research Interests

  • Linked Data
  • Knowledge Extraction and NLP
  • Web Services and Web APIs

Awards and Nominations

Community Service

Milan has served the community as a programme committee member and reviewer for various conferences (WWW, ESWC, ICWE, COLING, SEMAPRO, NLDB, JIST), workshops (WS-REST, #Microposts, WIC) and journals (Semantic Web Journal, IEEE Transactions on Services Computing, Engineering Applications of Artificial Intelligence). Milan has also (co-)organized various events such as tutorials (FREME, Language Resources and Linked Data) workshops (NIF) and symposiums (Intelligent Web Services Meet Social Computing). For complete list see here.

Other

You can also find me at:

Homepage

For more general information please check my personal page.

Current Projects

  • ALIGNEDAligned, Quality-centric Software and Data Engineering
  • DBpediaQuerying Wikipedia like a Semantic Database
  • DBpedia NIF DatasetOpen, Large-Scale and Multilingual Knowledge Extraction Corpus
  • NLP Interchange Format (NIF)an RDF/OWL-based format that allows to combine and chain several NLP tools in a flexible, light-weight way
  • NLP2RDFConverting NLP tool output to RDF

Past Projects

  • FREMEOpen Framework of E-services for Multilingual and Semantic Enrichment of Digital Content
  • LinkedTVTelevision linked to the Web.
  • LOD2Creating Knowledge out of Interlinked Data

Publications

by (Editors: ) [BibTex of ]

News

DBpedia Tutorial @ Knowledge Graph Conference 2021 ( 2021-04-09T13:20:50+02:00 by Julia Holze)

2021-04-09T13:20:50+02:00 by Julia Holze

On May 4, 2021 we will organize a tutorial at the Knowledge Graph Conference (KGC) 2021. Read more about "DBpedia Tutorial @ Knowledge Graph Conference 2021"

DBpedia @ Google Summer of Code program 2021 ( 2021-03-15T09:41:22+01:00 by Julia Holze)

2021-03-15T09:41:22+01:00 by Julia Holze

DBpedia, one of InfAI’s community projects, will participate in the Google Summer of Code (GSoC) program for the 10th time. The GsoC program has the goal to bring students from all over the globe into open source software development. Read more about "DBpedia @ Google Summer of Code program 2021"

DBpedia’s New Website ( 2021-01-28T12:42:40+01:00 by Julia Holze)

2021-01-28T12:42:40+01:00 by Julia Holze

We are proud to announce the completion of the new DBpedia website. Read more about "DBpedia’s New Website"

SANSA 0.7.1 (Semantic Analytics Stack) Released ( 2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann)

2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.7.1 – the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Read more about "SANSA 0.7.1 (Semantic Analytics Stack) Released"

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"