Prof. Dr. Thomas Riechert

Prof. Dr. Thomas Riechert
Depiction of Prof. Dr. Thomas Riechert
Address Work
Hochschule für Technik, Wirtschaft und Kultur Leipzig (HTWK) - University of Applied Sciences
Gustav-Freytag-Str. 42 A, Room Z507, 04277 Leipzig
Email Office
Phone Work
+49-341-3076-6413
Fax Work
+49-341-3076-6381

Thomas Riechert is Professor for Information Systems and Data Management at the Leipzig University of Applied Sciences (Hochschule für Technik, Wirtschaft und Kultur - HTWK Leipzig). From 2002 to 2014 he worked as scientific assistant at University of Leipzig, at the Business Information Systems chair. Together with Sören Auer, Sebastian Tramp und Jens Lehmann, he founded the research group Agile Knowledge Engineering and Semantic Web (AKSW) in 2006 and realized own funded research projects. Thomas Riechert's main research fields are software and knowledge engineering, the Semantic Web and Linked Open Data Web. In 2012 he finished his doctorate with at the University of Leipzig on "A methodology for Agile and Collaborative Requirements Engineering". Currently he is working on the development of a scientific method for research on online available and distributed research databases, within the project "Professorial Career Patterns of the Early Modern History" funded by DFG from 2017 till 2020.

Current Projects

Past Projects

  • ART-e-FACT – Media continuity artefact management
  • Catalogus Professorum – Leipzig Professors Catalog
  • LOD2 – Creating Knowledge out of Interlinked Data
  • SoftWiki – Semantics- and Community-Based Requirements Engineering

Publications

by (Editors: ) [BibTex of ]

News

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"

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"