Prof. Dr. Axel-C. Ngonga Ngomo

Prof. Dr. Axel-C. Ngonga Ngomo
Depiction of Prof. Dr. Axel-C. Ngonga Ngomo
Address Work
Hainstraße 11, Room 105, 04109 Leipzig
Email Office
Phone Work
+49-341-97-32362
Fax Work
+49-341-229037-99

Current Projects

  • AGDISTISAgnostic Disambiguation of Named Entities Using Linked Open Data
  • ALOEAssisted Linked Data Consumption Engine
  • ART-e-FACTMedia continuity artefact management
  • ASSESSAutomatic Self Assessment
  • AutoSPARQLConvert a natural language expression to a SPARQL query
  • BDEBig Data Europe
  • BioASQa challenge on large-scale biomedical semantic indexing and question answering
  • BOABOotstrapping linked datA
  • BorderFlowa general-purpose graph clustering tool
  • conTEXTLightweight Text Analytics using Linked Data
  • DEERRDF Data Extraction and Enrichment Framework
  • DeFactoDeep Fact Validation
  • DEQADeep Web Extraction for Question Answering
  • DIESELDistributed Search in Large Enterprise Data
  • FEASIBLEA Featured-Based SPARQL Benchmarks Generation Framework.
  • FOXFederated knOwledge eXtraction Framework
  • GEISERVon Sensordaten zu internetbasierten Geo-Services
  • GeoKnowMaking the Web an Exploratory for Geospatial Knowledge
  • GeoLiftSpatial mapping framework for enriching RDF datasets with Geo-spatial information
  • GERBILGeneral Entity Annotation Benchmark Framework
  • HAWKHybrid Question Answering over Linked Data
  • HOBBITHolistic Benchmarking of Big Linked Data
  • LIMESLInk discovery framework for MEtric Spaces
  • LinkingLODinterlinking knowledge bases
  • LSQLinked SPARQL Queries Dataset
  • QAMELQuestion Answering on Mobil Devices
  • QUETSALA Query Federation Suite for SPARQL
  • Relation Annotation in GENIA
  • REXWeb-Scale Extension of RDF Knowledge Bases
  • SAGESemantic Geospatial Analytics
  • SAIM(Semi-)Automatic Instance Matcher
  • SAKEWith RDF and Machine Learning Getting Results Faster
  • SCMSSemantic Content Management Systems
  • SemanticQurana Multilingual Resource for Natural-Language Processing
  • SLIPOScalable Linking and Integration of Big POI data
  • SPARQL2NLconverting SPARQL queries to natural language

Publications

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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"