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

SML-Bench 0.2 Released ( 2017-05-11T13:01:45+02:00 by Patrick Westphal)

2017-05-11T13:01:45+02:00 by Patrick Westphal

Dear all, we are happy to announce the 0.2 release of SML-Bench, our Structured Machine Learning benchmark framework. SML-Bench provides full benchmarking scenarios for inductive supervised machine learning covering different knowledge representation languages like OWL and Prolog. Read more about "SML-Bench 0.2 Released"

AKSW Colloquium, 08.05.2017, Scalable RDF Graph Pattern Matching ( 2017-05-08T09:42:49+02:00 by Lorenz Bühmann)

2017-05-08T09:42:49+02:00 by Lorenz Bühmann

At the AKSW Colloquium, on Monday 8th of May 2017, 3 PM, Lorenz Bühmann will discuss a paper titled “Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching” of Kim et al. Read more about "AKSW Colloquium, 08.05.2017, Scalable RDF Graph Pattern Matching"

ESWC 2017 accepted two Demo Papers by AKSW members ( 2017-04-19T10:19:43+02:00 Christopher Schulz)

2017-04-19T10:19:43+02:00 Christopher Schulz

Hello Community! The 14th ESWC, which takes place from May 28th to June 1st 2017 in Portoroz, Slovenia, accepted two demos to be presented at the conference. Read more about them in the following:                                                                         1. Read more about "ESWC 2017 accepted two Demo Papers by AKSW members"

AKSW Colloquium, 10.04.2017, GeoSPARQL on geospatial databases ( 2017-04-07T10:43:55+02:00 by Dr. Matthias Wauer)

2017-04-07T10:43:55+02:00 by Dr. Matthias Wauer

At the AKSW Colloquium, on Monday 10th of April 2017, 3 PM, Matthias Wauer will discuss a paper titled “Ontop of Geospatial Databases“. Read more about "AKSW Colloquium, 10.04.2017, GeoSPARQL on geospatial databases"

AKSW Colloquium, 03.04.2017, RDF Rule Mining ( 2017-03-31T13:39:28+02:00 TommasoSoru)

2017-03-31T13:39:28+02:00 TommasoSoru

At the AKSW Colloquium, on Monday 3rd of April 2017, 3 PM, Tommaso Soru will present the state of his ongoing research titled “Efficient Rule Mining on RDF Data”, where he will introduce Horn Concerto, a novel scalable SPARQL-based approach … Continue reading → Read more about "AKSW Colloquium, 03.04.2017, RDF Rule Mining"