Dr. Ricardo Usbeck

Dr. Ricardo Usbeck
Depiction of Dr. Ricardo Usbeck
Address Work
Goerdellering 9, 04109 Leipzig
Email Office
Fax Work

@GitHub @twitter




  • Since October I am officially the Team Leader Conversational AI at our Fraunhofer branch in Dresden. I focus on growing research excellence and the team as well as on transferring our knowledge to industry and society.
  • We are organizing the KI-Innovationsprojekt SPEAKER - Sprachassistenzplatform Made in Germany. There, I lead the technological and scientific development of semantic natural language understanding and dialogue modules. If you are interested in joining the platform, send me a message.
  • We got the 2nd place at BMW Technologietag project pitch slam, Dingolfing, 2019 "Qualitätsmanagement bei der additiven Fertigung von automobilen Serienbauteilen mittels In-Line-Prozessüberwachung sowie Datenanalyse mit Statistik und neuronalen Netzen" with Martin Jaretzki from Fraunhofer IWU as main idea driver.
  • Since April 1st, 2019 I am the Lead Research Engineer for Conversational AI at Fraunhofer IAIS at its new location in Dresden, Germany!
  • I will start a new position in April 2019, stay tuned :)
  • I gave an interview about the combination of Deep Learning and Knowledge Graphs: SEMANTiCS interview on KG, DL, NLP and QA
  • I am proud to be the Linked Data track chair for the ESWC 2019 as well as the P&D chair for the SEMANTiCS 2019
  • We are among the top-4 teams at the Rich Context Competition




  • We were nominated as runner up for Best Paper at KESW. Read our paper about Requirements to Modern Semantic Search Engines.
  • I submitted my PhD thesis, a first version, as well as the online erratum, can be found here.
  • We started a collection of utils, datasets, and systems for Question Answering and Natural Language Interfaces in general
  • We are supporting the next round of the QALD challenge by creating a hybrid QA gold standard Read more
  • Our Eurostars project DIESEL and QAMEL are both entering the implementation phase by April. If you have any suggestions or want information, contact us. Read more about DIESEL
  • Currently, I am chair of the W3C Community Group for Natural Language Interfaces for the Web of data. Join us!



If you want to write your Bachelor or Master thesis within the Semantic Web area do not hesitate to contact me!

Video Lectures

Web-Scale Extension of RDF Knowledge Bases from Templated Websites - ISWC 2014

Developing a Sustainable Platform for Entity Annotation Benchmarks - ESWC 2015

HAWK – Hybrid Question Answering using Linked Data - ESWC 2015

Designing modern enterprise search systems: the DIESEL case - KESW 2016

Current Projects

  • AGDISTISAgnostic Disambiguation of Named Entities Using Linked Open Data
  • ASSESSAutomatic Self Assessment
  • GERBILGeneral Entity Annotation Benchmark Framework

Past Projects



by (Editors: ) [BibTex of ]


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"