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

AKSW Colloquium, 28.11.2016, NED using PBOH + Large-Scale Learning of Relation-Extraction Rules. ( 2016-11-26T12:30:29+01:00 by Diego Moussallem)

2016-11-26T12:30:29+01:00 by Diego Moussallem

In the upcoming Colloquium, November the 28th at 3 PM, two papers will be presented: Probabilistic Bag-Of-Hyperlinks Model for Entity Linking Diego Moussallem will discuss the paper “Probabilistic Bag-Of-Hyperlinks Model for Entity Linking” by Octavian-Eugen Ganea et. al. Read more about "AKSW Colloquium, 28.11.2016, NED using PBOH + Large-Scale Learning of Relation-Extraction Rules."

Accepted paper in AAAI 2017 ( 2016-11-14T14:48:46+01:00 by Mohamed Sherif)

2016-11-14T14:48:46+01:00 by Mohamed Sherif

Hello Community! Read more about "Accepted paper in AAAI 2017"

AKSW Colloquium, 17.10.2016, Version Control for RDF Triple Stores + NEED4Tweet ( 2016-10-17T09:55:50+02:00 by Marvin Frommhold)

2016-10-17T09:55:50+02:00 by Marvin Frommhold

In the upcoming Colloquium, October the 17th at 3 PM, two papers will be presented: Version Control for RDF Triple Stores Marvin Frommhold will discuss the paper “Version Control for RDF Triple Stores” by Steve Cassidy and James Ballantine which forms the foundation … Continue reading → Read more about "AKSW Colloquium, 17.10.2016, Version Control for RDF Triple Stores + NEED4Tweet"

LIMES 1.0.0 Released ( 2016-10-14T11:38:31+02:00 by Kleanthi Georgala)

2016-10-14T11:38:31+02:00 by Kleanthi Georgala

Dear all, the LIMES Dev team is happy to announce LIMES 1.0.0. LIMES, the Link Discovery Framework for Metric Spaces, is a link discovery framework for the Web of Data. Read more about "LIMES 1.0.0 Released"

DL-Learner 1.3 (Supervised Structured Machine Learning Framework) Released ( 2016-10-11T21:41:00+02:00 by Dr. Jens Lehmann)

2016-10-11T21:41:00+02:00 by Dr. Jens Lehmann

Dear all, the Smart Data Analytics group at AKSW is happy to announce DL-Learner 1.3. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.3 (Supervised Structured Machine Learning Framework) Released"