Dr.-Ing. Sebastian Hellmann

Dr.-Ing. Sebastian Hellmann
Depiction of Dr.-Ing. Sebastian Hellmann
Address Work
Hainstraße 11, 04109 Leipzig
Email Office
Phone Work
+49-341-9732223
Fax Work
+49-341-97-32329

Homepage

Please also look at the page of my research group AKSW/KILT.

CV

Sebastian Hellmann has completed his PhD thesis under the guidance of Jens Lehmann and Sören Auer at the University of Leipzig in 2014 on the transformation of NLP tool output to RDF. Sebastian is a senior member of the “Agile Knowledge Engineering and Semantic Web” AKSW research center, which currently has 50 researchers (PhDs and senior researchers) focusing on semantic technology research – often in combination with other areas such as machine learning, databases, and natural language processing. Sebastian is head of the “Knowledge Integration and Language Technologies (KILT)" Competence Center at InfAI. He also is the executive director and board member of the non-profit DBpedia Association. Sebastian is contributor to various open-source projects and communities such as DBpedia, NLP2RDF, DL-Learner and OWLG and wrote code in Java, PHP, JavaScript, Scala, C & C++, MatLab, Prolog, Smodels, but now does everything in Bash and Zsh since he discovered the Ubuntu Terminal. Sebastian is the author of over 80 peer-reviewed scientific publications (h-index of 21 and over 4300 citations [Google Scholar] (https://scholar.google.com/citations?user=caLrIhoAAAAJ)) and a not-yet-deleted Wikipedia article about Knowledge Extraction. Currently, he is project manager for Leipzig University and InfAI of the EU H2020 Projects ALIGNED and FREME and the BMWi funded project Smart Data Web. Before that, he was also involved in other funded projects such as FREME (EU H2020), LIDER (EU FP7), BIG and LOD2. Sebastian was chair at the Open Knowledge Conference in 2011, the Workshop on Linked Data in Linguistics 2012, the Linked Data Cup 2012, the Multilingual Linked Data for Enterprises (MLODE) 2012 workshop, the NLP & DBpedia Workshop 2014, the SEMANTiCS 2014, 2015 and 2016 conference as well as the KEKI Workshop 2016. In 2012, we held a hackathon at MLODE 2012 bootstrapping an initial version of the Linguistic Linked Open Data cloud image, which led to the LIDER project and linguistic-lod.org that now publishes regular updates (thanks to John McCrae).

Current Projects

  • 5. Leipziger Semantic Web Tag (LSWT2013)Von Big Data zu Smart Data
  • ALIGNEDAligned, Quality-centric Software and Data Engineering
  • DL-Learnera tool for supervised Machine Learning in OWL and Description Logics
  • FREMEOpen Framework of E-services for Multilingual and Semantic Enrichment of Digital Content
  • LIDERLinked Data as an enabler of cross-media and multilingual content analytics for enterprises across Europe
  • LOD2Creating Knowledge out of Interlinked Data
  • MEX VocabularyA Light-Weight Interchange Format for Machine Learning Experiments
  • Navigation-induced Knowledge Engineering by Examplea light-weight methodology for low-cost knowledge engineering by a massive user base
  • NIF4OGGDNatural Language Interchange Format for Open German Governmental Data
  • 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
  • RDFUnitan RDF Unit-Testing suite
  • Smart Data WebCreation of an industry knowledge base for the German industry.

Past Projects

  • OntoWiki.euSocial Semantic Collaboration for EKM, E-Learning & E-Tourism
  • Triplifyprovides a building block for the 'semantification' of Web applications
  • xOperatorcombines advantages of social network websites with instant messaging

Publications

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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"