Machine Learning and Ontology Engineering

The MOLE group focuses on combining Semantic Web and supervised Machine Learning technologies. The goal is to improve both quality and quantity of available knowledge by extracting, analysing, enriching and linking existing data. To make obtained results readily available for use in other applications, the group also provides several established open source tools, frameworks and demonstrators.

Research Areas

  • Creating knowledge bases from weakly structured data
  • Quality assurance and enhancement in ontologies
  • Semi-automatic instance matching
  • Supervised Machine Learning in OWL/RDF knowledge bases

Projects

  • AskNowAskNow is a Question Answering (QA) system for RDF datasets.
  • AskNowAskNow is a Question Answering (QA) system for RDF datasets.
  • ASSESSAutomatic Self Assessment
  • AutoSPARQLConvert a natural language expression to a SPARQL query
  • BDEBig Data Europe
  • BIGBig Data Public Private Forum
  • CubeQAQuestion Answering on Statistical Linked Data
  • DBpediaQuerying Wikipedia like a Semantic Database
  • DBpediaDQUser-driven quality evaluation of DBpedia
  • DBpediaDQCrowdCrowdsourcing DBpedia Quality Assessment
  • DEERRDF Data Extraction and Enrichment Framework
  • DeFactoDeep Fact Validation
  • DEQADeep Web Extraction for Question Answering
  • DIESELDistributed Search in Large Enterprise Data
  • DL-Learnera tool for supervised Machine Learning in OWL and Description Logics
  • FaceteJavaScript SPARQL-based Faceted Search Library and Browsing Widgets
  • FTSRDF Version of the Financial Transparency System of the European Commission
  • 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
  • GHOPublishing and Interlinking the Global Health Observatory Dataset
  • GOLDGenerating Ontologies from Linked Data
  • HAWKHybrid Question Answering over Linked Data
  • HOBBITHolistic Benchmarking of Big Linked Data
  • JassaJAvascript Suite for Sparql Access
  • jena-sparql-apiA Java library featuring tools for transparently boosting SPARQL query execution.
  • LATCLOD Around-the-Clock
  • LIMESLInk discovery framework for MEtric Spaces
  • LinkedGeoDataadds a spatial dimension to the Web of Data
  • LinkedIdiomsA Multilingual Linked Idioms Data Set
  • LinkedSpendinggovernment spendings from all over the world as Linked Data
  • LinkingLODinterlinking knowledge bases
  • LOD2Creating Knowledge out of Interlinked Data
  • LODStatsa statement-stream-based approach for gathering comprehensive statistics about RDF datasets
  • MEX VocabularyA Light-Weight Interchange Format for Machine Learning Experiments
  • NIF4OGGDNatural Language Interchange Format for Open German Governmental Data
  • NLP2RDFConverting NLP tool output to RDF
  • OREA tool for the enrichment, repair and validation of OWL based knowledge bases.
  • QAMELQuestion Answering on Mobil Devices
  • QROWDThe power of the Qrowd combines with RDF
  • RDFUnitan RDF Unit-Testing suite
  • ReDD-ObservatoryUsing the Web of Data for Evaluating the Research-Disease Disparity
  • REXWeb-Scale Extension of RDF Knowledge Bases
  • SAIM(Semi-)Automatic Instance Matcher
  • SAKEWith RDF and Machine Learning Getting Results Faster
  • SANSA-StackOpen source platform for distributed data processing for RDF large-scale datasets
  • SemanticQurana Multilingual Resource for Natural-Language Processing
  • SemMap
  • SLIPOScalable Linking and Integration of Big POI data
  • SML-BenchA Benchmark for Symbolic Supervised Machine Learning from Expressive Structured Data
  • SPARQL2NLconverting SPARQL queries to natural language
  • SparqlAnalyticsI Know What You Did Last Query
  • Sparqlifya SPARQL-SQL rewriter
  • TripleCheckMateCrowdsourcing the evaluation of Linked Data
  • USPatentsPublishing and Interlinking the USPTO Patent Data
  • VeriLinksverifying links in an arbitrary linkset

Publications

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News

DBpedia @ SEMANTiCS 2017 ( 2017-09-04T15:25:14+02:00 by Sandra Bartsch)

2017-09-04T15:25:14+02:00 by Sandra Bartsch

We are happy to invite you to the 10th DBpedia Community Meeting which will be held in Amsterdam. During the SEMANTiCS 2017, Sep 11-14, the DBpedia Community will get together on the 14th of September for the DBpdia Day. Read more about "DBpedia @ SEMANTiCS 2017"

PRESS RELEASE: Amsterdam​ ​-​ ​this​ ​year’s​ ​hotspot​ ​​on Linked​ ​Data​ ​Strategies​ ​&​ ​Practices ( 2017-09-04T11:58:06+02:00 by Sandra Bartsch)

2017-09-04T11:58:06+02:00 by Sandra Bartsch

September 11-14, 2017 international experts from science and industry demonstrate the business value of smart data services at SEMANTiCS 2017 Experts from science and industry meet at Europe’s biggest Linked Data and Semantic Web event to present and discuss latest … Continue reading → Read more about "PRESS RELEASE: Amsterdam​ ​-​ ​this​ ​year’s​ ​hotspot​ ​​on Linked​ ​Data​ ​Strategies​ ​&​ ​Practices"

AKSW Colloquium, 01.09.2017, IDOL: Comprehensive & Complete LOD Insights ( 2017-08-28T17:24:03+02:00 Gustavo Publio)

2017-08-28T17:24:03+02:00 Gustavo Publio

At the AKSW Colloquium on Friday 1st of September, at 10:40 AM there will be a paper presentation by Gustavo Publio. Read more about "AKSW Colloquium, 01.09.2017, IDOL: Comprehensive & Complete LOD Insights"

AKSW at ISWC2017 ( 2017-07-30T05:57:57+02:00 Muhammad Saleem)

2017-07-30T05:57:57+02:00 Muhammad Saleem

We are very pleased to announce that AKSW will be presenting 2 papers at ISWC 2017, which will be held on 21-24 October in Vienna, Austria. The demo and workshops papers have to be announced. Read more about "AKSW at ISWC2017"

AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning ( 2017-07-06T21:24:36+02:00 by Daniel Obraczka)

2017-07-06T21:24:36+02:00 by Daniel Obraczka

At the AKSW Colloquium on Friday 7th of July, at 10:40 AM there will be two paper presentations concerning genetic algorithms to learn linkage rules, and differentiable learning of logical rules for knowledge base reasoning. Read more about "AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning"