Dr.-Ing. Dimitris Kontokostas

Dr.-Ing. Dimitris Kontokostas
Depiction of Dr.-Ing. Dimitris Kontokostas
Address Work
Hainstraße 11, 04109 Leipzig
Email Office
Fax Work
+49-341-229037-99

@github @Google Scholar @LinkedIn @Twitter Homepage

I am a member of the Agile Knowledge Engineering and Semantic Web (AKSW) Research Group, in pursue of a PhD with a focus on Data Quality, DBpedia and Libraries.

In 2012 I started my PhD studies in the area of Semantic Web, funded by the Dutch national library organization (bibliotheek.nl). Part of my duties were to bootstrap, create and maintain the Dutch DBpedia (nl.dbpedia.org) with the aim to become a hub in the local Dutch LOD cloud. Besides DBpedia, my research focused on Linked Data quality. Along my research publications, I created RDFUnit, an innovative R&D framework for Unit-Testing RDF data that was successfully applied and tested on large scale RDF datasets (e.g. DBpedia, LCSH, LGD, Datos) and integrated in service validation stacks (e.g. NLP2RDF, DataID). RDFUnit is a research & work in progress with the aim to improve it's TRL.

I have been heavily involved in DBpedia, where in 2009 bootstrapped and co-lead the DBpedia Internationalization process. This lead in increasing the coverage of the DBpedia extraction framework to many languages and the the creation of the DBpedia internationalization committee. I created and maintained the Greek and Dutch DBpedia chapters. Since 2013 I took over DBpedia Live where I re-wrote and modularized the core live extraction framework. In addition I am one of the lead developers of the DBpedia Extraction Framework and assist in the coordination of the DBpedia (developer) community.

Since 2013 I lead the efforts of applying DBpedia as a GSoC organization and successfully coordinated many students and mentors in completing their projects. Some of the successfully GSoC projects that I mentored myself include the an Error DBpedia browser, the new DBpedia LD interface, Wikidata2DBpedia integration, porting the DBpedia extraction framework to Hadoop / Spark, extracting rich metadata from Wikimedia Commons.

In March 2014, we finally created a legal entity for DBpedia ( DBpedia Association ) where my active role is to coordinate the next technical directions of the project.

In addition, you can see my

Current Projects

  • ALIGNEDAligned, Quality-centric Software and Data Engineering
  • DBpediaQuerying Wikipedia like a Semantic Database
  • DBpediaDQUser-driven quality evaluation of DBpedia
  • DBpediaDQCrowdCrowdsourcing DBpedia Quality Assessment
  • RDFUnitan RDF Unit-Testing suite
  • TripleCheckMateCrowdsourcing the evaluation of Linked Data

Publications

by (Editors: ) [BibTex of ]

News

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"

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 Sandra Bartsch)

2019-08-01T10:35:05+02:00 Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"