Agile Knowledge Engineering and Semantic Web (AKSW)

The Research Group Agile Knowledge Engineering and Semantic Web (AKSW) is hosted by the Chair of Business Information Systems (BIS) of the Institute of Computer Science (IfI) / University of Leipzig as well as the Institute for Applied Informatics (InfAI).

Goals

  • Development of methods, tools and applications for adaptive Knowledge Engineering in the context of the Semantic Web
  • Research of underlying Semantic Web technologies and development of fundamental Semantic Web tools and applications
  • Maturation of strategies for fruitfully combining the Social Web paradigms with semantic knowledge representation techniques

AKSW is committed to the free software, open source, open access and open knowledge movements.

Jobs

We are always glad about seeing new people in our group. AKSW currently has some open job offers. Please find further information on our Jobs-Resource.

Projects

AKSW has launched a number of high-impact R&D projects. Please look at the projects page for a comprehensive description of AKSW's funded as well as community, open source and past projects.

Demos

Please have a look at our demos:

  • AGDISTIS is a multilingual, cross-domain, knowledge-base agnostic tool for Named Entity Disambiguation

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  • ASSESS Demo is a tool for generating Automatic Self Assessment Tests

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  • AutoSPARQL allows you to create queries for over RDF knowledge bases with low effort

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  • CubeViz The RDF DataCube Visualization Tool

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  • DBtrends Evaluating Ranking functions on RDF data sets

  • DeFacto is an algorithm for validating statements by finding confirming sources for it on the web.

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  • Facete JavaScript SPARQL-based Faceted Search Library and Browsing Widgets.

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  • GERBIL is a entity annotation benchmarking framework

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  • HANNE Holistic Application for Navigational Knowledge Engineering

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  • HAWK Hybrid Question Answering based on Linked Data and Full-Text Information

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  • KBox Distributing Ready-to-Query RDF Knowledge Graphs

  • LGD Browser / Editor is a javascript-based fullscreen browser and editor for geo-spatial data.

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  • Linked Data Stack is an integrated demonstrator application for the tools of the LOD2 and GeoKnow projects.

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  • LODStats collected statistics from all LOD datasets registered on the OKFN datahub.

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  • OntoWiki is a semantic data wiki for publishing and consuming Linked Data in agile, distributed knowledge engineering scenarios.

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  • openQA Open Question Answering Framework

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  • Palmetto Palmetto is a quality measuring tool for topics

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  • RDFaCE is an RDFa Content Editor based on TinyMCE

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  • ROCKER Enhancing Dataset Quality using ROCKER

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News

DBpedia Tutorial @ Knowledge Graph Conference 2021 ( 2021-04-09T13:20:50+02:00 by Julia Holze)

2021-04-09T13:20:50+02:00 by Julia Holze

On May 4, 2021 we will organize a tutorial at the Knowledge Graph Conference (KGC) 2021. Read more about "DBpedia Tutorial @ Knowledge Graph Conference 2021"

DBpedia @ Google Summer of Code program 2021 ( 2021-03-15T09:41:22+01:00 by Julia Holze)

2021-03-15T09:41:22+01:00 by Julia Holze

DBpedia, one of InfAI’s community projects, will participate in the Google Summer of Code (GSoC) program for the 10th time. The GsoC program has the goal to bring students from all over the globe into open source software development. Read more about "DBpedia @ Google Summer of Code program 2021"

DBpedia’s New Website ( 2021-01-28T12:42:40+01:00 by Julia Holze)

2021-01-28T12:42:40+01:00 by Julia Holze

We are proud to announce the completion of the new DBpedia website. Read more about "DBpedia’s New Website"

SANSA 0.7.1 (Semantic Analytics Stack) Released ( 2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann)

2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.7.1 – the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Read more about "SANSA 0.7.1 (Semantic Analytics Stack) Released"

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"