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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  • 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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  • 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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  • SlideWiki is a collaboration platform which enables communities to build, share and play online presentations

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News

SANSA 0.2 (Semantic Analytics Stack) Released ( 2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann)

2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann

The AKSW and Smart Data Analytics groups are happy to announce SANSA 0.2 – the second release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.2 (Semantic Analytics Stack) Released"

AKSW at ESWC 2017 ( 2017-06-12T10:53:35+02:00 Christopher Schulz)

2017-06-12T10:53:35+02:00 Christopher Schulz

Hello Community! The ESWC 2017 just ended and we give a short report of the course at the conference, especially regarding the AKSW-Group. Our members Dr. Muhammad Saleem, Dr. Mohamed Ahmed Sherif, Claus Stadler, Michael Röder, Prof. Dr. Read more about "AKSW at ESWC 2017"

Four papers accepted at WI 2017 ( 2017-06-10T15:01:31+02:00 Christopher Schulz)

2017-06-10T15:01:31+02:00 Christopher Schulz

Hello Community! We proudly announce that The International Conference on Web Intelligence (WI) accepted four papers by our group. The WI takes place in Leipzig between the 23th – 26th of August. Read more about "Four papers accepted at WI 2017"

AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data. ( 2017-05-26T13:51:11+02:00 by Diego Moussallem)

2017-05-26T13:51:11+02:00 by Diego Moussallem

At the AKSW Colloquium, on Monday 29th of May 2017, 3 PM, Diego Moussallem will present two papers related to his topic. First paper titled “Using BabelNet to Improve OOV Coverage in SMT” of Du et al. Read more about "AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data."

SML-Bench 0.2 Released ( 2017-05-11T13:01:45+02:00 by Patrick Westphal)

2017-05-11T13:01:45+02:00 by Patrick Westphal

Dear all, we are happy to announce the 0.2 release of SML-Bench, our Structured Machine Learning benchmark framework. SML-Bench provides full benchmarking scenarios for inductive supervised machine learning covering different knowledge representation languages like OWL and Prolog. Read more about "SML-Bench 0.2 Released"