Prof. Dr. Axel-C. Ngonga Ngomo

Prof. Dr. Axel-C. Ngonga Ngomo
Depiction of Prof. Dr. Axel-C. Ngonga Ngomo
Address Work
Augustusplatz 10, Room P905, 04109 Leipzig
Email Office
Phone Work
+49-341-97-32362
Fax Work
+49-341-97-32329

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
  • 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

SML-Bench 0.2 Released ( 2017-05-11T13:01:45+02:00 by Patrick Westphal)

2017-05-11T13:01:45+02:00 by Patrick Westphal

Dear all, we are happy to announce the 0.2 release of SML-Bench, our Structured Machine Learning benchmark framework. SML-Bench provides full benchmarking scenarios for inductive supervised machine learning covering different knowledge representation languages like OWL and Prolog. Read more about "SML-Bench 0.2 Released"

AKSW Colloquium, 08.05.2017, Scalable RDF Graph Pattern Matching ( 2017-05-08T09:42:49+02:00 by Lorenz Bühmann)

2017-05-08T09:42:49+02:00 by Lorenz Bühmann

At the AKSW Colloquium, on Monday 8th of May 2017, 3 PM, Lorenz Bühmann will discuss a paper titled “Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching” of Kim et al. Read more about "AKSW Colloquium, 08.05.2017, Scalable RDF Graph Pattern Matching"

ESWC 2017 accepted two Demo Papers by AKSW members ( 2017-04-19T10:19:43+02:00 Christopher Schulz)

2017-04-19T10:19:43+02:00 Christopher Schulz

Hello Community! The 14th ESWC, which takes place from May 28th to June 1st 2017 in Portoroz, Slovenia, accepted two demos to be presented at the conference. Read more about them in the following:                                                                         1. Read more about "ESWC 2017 accepted two Demo Papers by AKSW members"

AKSW Colloquium, 10.04.2017, GeoSPARQL on geospatial databases ( 2017-04-07T10:43:55+02:00 by Dr. Matthias Wauer)

2017-04-07T10:43:55+02:00 by Dr. Matthias Wauer

At the AKSW Colloquium, on Monday 10th of April 2017, 3 PM, Matthias Wauer will discuss a paper titled “Ontop of Geospatial Databases“. Read more about "AKSW Colloquium, 10.04.2017, GeoSPARQL on geospatial databases"

AKSW Colloquium, 03.04.2017, RDF Rule Mining ( 2017-03-31T13:39:28+02:00 TommasoSoru)

2017-03-31T13:39:28+02:00 TommasoSoru

At the AKSW Colloquium, on Monday 3rd of April 2017, 3 PM, Tommaso Soru will present the state of his ongoing research titled “Efficient Rule Mining on RDF Data”, where he will introduce Horn Concerto, a novel scalable SPARQL-based approach … Continue reading → Read more about "AKSW Colloquium, 03.04.2017, RDF Rule Mining"