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
- AgriNepalData – Ontology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal
- AskNow – AskNow is a Question Answering (QA) system for RDF datasets.
- AskNow – AskNow is a Question Answering (QA) system for RDF datasets.
- ASSESS – Automatic Self Assessment
- AutoSPARQL – Convert a natural language expression to a SPARQL query
- BDE – Big Data Europe
- BIG – Big Data Public Private Forum
- CubeQA – Question Answering on Statistical Linked Data
- DBpedia – Querying Wikipedia like a Semantic Database
- DBpediaDQ – User-driven quality evaluation of DBpedia
- DBpediaDQCrowd – Crowdsourcing DBpedia Quality Assessment
- DEER – RDF Data Extraction and Enrichment Framework
- DeFacto – Deep Fact Validation
- DEQA – Deep Web Extraction for Question Answering
- DIESEL – Distributed Search in Large Enterprise Data
- DL-Learner – a tool for supervised Machine Learning in OWL and Description Logics
- Facete – JavaScript SPARQL-based Faceted Search Library and Browsing Widgets
- FTS – RDF Version of the Financial Transparency System of the European Commission
- GEISER – Von Sensordaten zu internetbasierten Geo-Services
- GeoKnow – Making the Web an Exploratory for Geospatial Knowledge
- GeoLift – Spatial mapping framework for enriching RDF datasets with Geo-spatial information
- GHO – Publishing and Interlinking the Global Health Observatory Dataset
- GOLD – Generating Ontologies from Linked Data
- HAWK – Hybrid Question Answering over Linked Data
- HOBBIT – Holistic Benchmarking of Big Linked Data
- Jassa – JAvascript Suite for Sparql Access
- jena-sparql-api – A Java library featuring tools for transparently boosting SPARQL query execution.
- KupferDigital – Datenökosystem für die digitale Materialentwicklung auf Basis Ontologie-basierter digitaler Repräsentationen von Kupfer und Kupferlegierungen
- LATC – LOD Around-the-Clock
- LIMES – LInk discovery framework for MEtric Spaces
- LinkedGeoData – adds a spatial dimension to the Web of Data
- LinkedIdioms – A Multilingual Linked Idioms Data Set
- LinkedSpending – government spendings from all over the world as Linked Data
- LinkingLOD – interlinking knowledge bases
- LOD2 – Creating Knowledge out of Interlinked Data
- LODStats – a statement-stream-based approach for gathering comprehensive statistics about RDF datasets
- mCLIENT – Effiziente Schnittstellen für Datenbereitsteller
- MEX Vocabulary – A Light-Weight Interchange Format for Machine Learning Experiments
- Neural SPARQL Machines – Translating natural language into machine language for data access.
- NIF4OGGD – Natural Language Interchange Format for Open German Governmental Data
- NLP2RDF – Converting NLP tool output to RDF
- 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
- RDFUnit – an RDF Unit-Testing suite
- ReDD-Observatory – Using the Web of Data for Evaluating the Research-Disease Disparity
- REX – Web-Scale Extension of RDF Knowledge Bases
- SAGE – Semantic Geospatial Analytics
- SAIM – (Semi-)Automatic Instance Matcher
- SAKE – With RDF and Machine Learning Getting Results Faster
- SANSA-Stack – Open source platform for distributed data processing for RDF large-scale datasets
- SemanticQuran – a Multilingual Resource for Natural-Language Processing
- SemMap
- SLIPO – Scalable Linking and Integration of Big POI data
- SML-Bench – A Benchmark for Symbolic Supervised Machine Learning from Expressive Structured Data
- SPARQL2NL – converting SPARQL queries to natural language
- SparqlAnalytics – I Know What You Did Last Query
- Sparqlify – a SPARQL-SQL rewriter
- TripleCheckMate – Crowdsourcing the evaluation of Linked Data
- USPatents – Publishing and Interlinking the USPTO Patent Data
- VeriLinks – verifying links in an arbitrary linkset