Semantic Abstraction

SIMBA's focus in supporting the transition of non-semantic applications to knowledge-driven applications. Hence we support all major steps from legacy data to rich semantic applications. This includes but is not limited to knowledge storage (triple stores, federated queries), knowledge extraction (RDF extraction from text, structured data, etc.), knowledge integration (link discovery, data fusion), knowledge access (keyword-based search, question answering and rich interfaces) and knowledge consumption within semantic applications . For this purpose, SIMBA develops novel and scalable approaches for data ranging from small to Big Data. In addition, SIMBA provides tools and frameworks that implement these approaches and allow for their swift integration into industry projects.

Research Areas

  • Knowledge Access, e.g., keyword-based search, question answering, and interfaces
  • Knowledge Extraction, e.g., extraction of RDF and OWL from unstructured data
  • Knowledge Integration, e.g., link discovery and linked data fusion
  • Knowledge Storage, e.g., federated queries, triple stores
  • Knowledge-Driven applications, e.g., industry 4.0, big data, benchmarking

Projects

  • AGDISTISAgnostic Disambiguation of Named Entities Using Linked Open Data
  • ALIGNEDAligned, Quality-centric Software and Data Engineering
  • 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
  • BIGBig Data Public Private Forum
  • 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
  • CSVImportRepresenting multi-dimensional statistical data as RDF using the RDF Data Cube Vocabulary
  • CubeVizThe RDF DataCube Browser.
  • DBpediaDQUser-driven quality evaluation of DBpedia
  • 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
  • LDWPOthe Linked Data Workflow Project ontology
  • LIMESLInk discovery framework for MEtric Spaces
  • LinkedGeoDataadds a spatial dimension to the Web of Data
  • LinkedIdiomsA Multilingual Linked Idioms Data Set
  • LinkingLODinterlinking knowledge bases
  • LIONInduction of Link Specifications using Refinement Operators
  • LODStatsa statement-stream-based approach for gathering comprehensive statistics about RDF datasets
  • LSQLinked SPARQL Queries Dataset
  • MEX VocabularyA Light-Weight Interchange Format for Machine Learning Experiments
  • N3 - CollectionN3 - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format
  • NIF4OGGDNatural Language Interchange Format for Open German Governmental Data
  • NLP Interchange Format (NIF)an RDF/OWL-based format that allows to combine and chain several NLP tools in a flexible, light-weight way
  • OntoWikia tool providing support for agile, distributed knowledge engineering scenarios
  • OntoWiki MobileKnowledge Management in your Pocket
  • openQAOpen Question Answering Framework
  • PalmettoPalmetto is a quality measuring tool for topics
  • QAMELQuestion Answering on Mobil Devices
  • QualisBrasilLinked Open Data for supporting scientometric studies
  • QUETSALA Query Federation Suite for SPARQL
  • RDFSliceLarge-scale RDF Dataset Slicing
  • Relation Annotation in GENIA
  • REXWeb-Scale Extension of RDF Knowledge Bases
  • RockerA Refinement Operator for Key Discovery
  • 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
  • SCAROScalable RDF compression using rule subsumption hierachies
  • SCMSSemantic Content Management Systems
  • SemanticQurana Multilingual Resource for Natural-Language Processing
  • SlideWikihelps communities to create great presentations collaboratively
  • SMARTA Semantic Search Engine
  • SPARQL2NLconverting SPARQL queries to natural language
  • Sparqlifya SPARQL-SQL rewriter
  • SparqlMapis a SPARQL-to-SQL rewriter
  • TapiocaTapioca is a search engine for topically similar RDF datasets.
  • TripleCheckMateCrowdsourcing the evaluation of Linked Data

Publications

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News

AKSW Colloquium, 23.01.2017, Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction ( 2017-01-20T14:02:35+01:00 by Ivan Ermilov)

2017-01-20T14:02:35+01:00 by Ivan Ermilov

Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction On the upcoming colloquium on 23.01. Read more about "AKSW Colloquium, 23.01.2017, Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction"

PRESS RELEASE: “HOBBIT so far.” is now available ( 2017-01-09T14:22:29+01:00 by Sandra Bartsch)

2017-01-09T14:22:29+01:00 by Sandra Bartsch

The latest release informs about the conferences our team attended in 2016 as well as about the published blogposts. Read more about "PRESS RELEASE: “HOBBIT so far.” is now available"

4th Big Data Europe Plenary at Leipzig University ( 2016-12-16T14:33:41+01:00 by Sandra Bartsch)

2016-12-16T14:33:41+01:00 by Sandra Bartsch

The meeting, hosted by our partner InfAI e. V., took place on the 14th to the 15th of December at the University of Leipzig. Read more about "4th Big Data Europe Plenary at Leipzig University"

SANSA 0.1 (Semantic Analytics Stack) Released ( 2016-12-09T15:41:04+01:00 by Dr. Jens Lehmann)

2016-12-09T15:41:04+01:00 by Dr. Jens Lehmann

Dear all, The Smart Data Analytics group /AKSW are very happy to announce SANSA 0.1 – the initial release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.1 (Semantic Analytics Stack) Released"

AKSW wins award for Best Resources Paper at ISWC 2016 in Japan ( 2016-12-09T15:05:00+01:00 by Sandra Bartsch)

2016-12-09T15:05:00+01:00 by Sandra Bartsch

Our paper, “LODStats: The Data Web Census Dataset”, won the award for Best Resources Paper at the recent conference in Kobe/Japan, which was the premier international forum for Semantic Web and Linked Data Community. Read more about "AKSW wins award for Best Resources Paper at ISWC 2016 in Japan"