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
  • 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.
  • DBtrendsEvaluating Ranking functions on RDF data sets
  • 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
  • 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
  • IGUANAIntelligent Suite for Benchmarking SPARQL with Updates
  • KBoxDistributing Ready-to-Query RDF Knowledge Graphs
  • 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
  • PCP on WebProfessorial Career Patterns of the Early Modern History
  • 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
  • SLIPOScalable Linking and Integration of Big POI data
  • SMARTA Semantic Search Engine
  • SML-BenchA Benchmark for Symbolic Supervised Machine Learning from Expressive Structured Data
  • SPARQL2NLconverting SPARQL queries to natural language
  • TapiocaTapioca is a search engine for topically similar RDF datasets.

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"