Milan Dojchinovski

Milan Dojchinovski
Depiction of Milan Dojchinovski
Address Work
Hainstraße 11, 04109 Leipzig
Email Office
Fax Work
+49-341-97-32329

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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 Аcess
  • Knowledge Extraction
  • 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

  • FREMEOpen Framework of E-services for Multilingual and Semantic Enrichment of Digital Content
  • 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

  • LinkedTVTelevision linked to the Web.
  • LOD2Creating Knowledge out of Interlinked Data

Publications

by (Editors: ) [BibTex of ]

News

AKSW Colloquium, 23.01.2017, Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction ( 2017-01-20T14:02:35+01:00 by Ivan Ermilov)

2017-01-20T14:02:35+01:00 by Ivan Ermilov

Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction On the upcoming colloquium on 23.01. Read more about "AKSW Colloquium, 23.01.2017, Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction"

PRESS RELEASE: “HOBBIT so far.” is now available ( 2017-01-09T14:22:29+01:00 by Sandra Bartsch)

2017-01-09T14:22:29+01:00 by Sandra Bartsch

The latest release informs about the conferences our team attended in 2016 as well as about the published blogposts. Read more about "PRESS RELEASE: “HOBBIT so far.” is now available"

4th Big Data Europe Plenary at Leipzig University ( 2016-12-16T14:33:41+01:00 by Sandra Bartsch)

2016-12-16T14:33:41+01:00 by Sandra Bartsch

The meeting, hosted by our partner InfAI e. V., took place on the 14th to the 15th of December at the University of Leipzig. Read more about "4th Big Data Europe Plenary at Leipzig University"

SANSA 0.1 (Semantic Analytics Stack) Released ( 2016-12-09T15:41:04+01:00 by Dr. Jens Lehmann)

2016-12-09T15:41:04+01:00 by Dr. Jens Lehmann

Dear all, The Smart Data Analytics group /AKSW are very happy to announce SANSA 0.1 – the initial release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.1 (Semantic Analytics Stack) Released"

AKSW wins award for Best Resources Paper at ISWC 2016 in Japan ( 2016-12-09T15:05:00+01:00 by Sandra Bartsch)

2016-12-09T15:05:00+01:00 by Sandra Bartsch

Our paper, “LODStats: The Data Web Census Dataset”, won the award for Best Resources Paper at the recent conference in Kobe/Japan, which was the premier international forum for Semantic Web and Linked Data Community. Read more about "AKSW wins award for Best Resources Paper at ISWC 2016 in Japan"