Lorenz Bühmann

Lorenz Bühmann
Depiction of Lorenz Bühmann
Address Work
Hainstraße 11, 04109 Leipzig
Email Office
Phone Work
+49-341-9732253
Fax Work
+49-341-229037-99

Research Topics:

  • Ontology Learning
  • Ontology Debugging
  • Reasoning
  • Question Answering
  • Natural Language Generation
  • Big Structured Machine Learning

Current Projects

  • ASSESS – Automatic Self Assessment
  • AutoSPARQL – Convert a natural language expression to a SPARQL query
  • DEQA – Deep Web Extraction for Question Answering
  • DL-Learner – a tool for supervised Machine Learning in OWL and Description Logics
  • GOLD – Generating Ontologies from Linked Data
  • HAWK – Hybrid Question Answering over Linked Data
  • ORE – A tool for the enrichment, repair and validation of OWL based knowledge bases.
  • QAMEL – Question Answering on Mobil Devices
  • QROWD – The power of the Qrowd combines with RDF
  • REX – Web-Scale Extension of RDF Knowledge Bases
  • SAKE – With RDF and Machine Learning Getting Results Faster
  • SANSA-Stack – Open source platform for distributed data processing for RDF large-scale datasets
  • SML-Bench – A Benchmark for Symbolic Supervised Machine Learning from Expressive Structured Data
  • SPARQL2NL – converting SPARQL queries to natural language

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"