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

    screenshot

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

    screenshot

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

    screenshot

  • CubeViz The RDF DataCube Visualization Tool

    screenshot

  • DBtrends Evaluating Ranking functions on RDF data sets

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

    screenshot

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

    screenshot

  • GERBIL is a entity annotation benchmarking framework

    screenshot

  • HANNE Holistic Application for Navigational Knowledge Engineering

    screenshot

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

    screenshot

  • KBox Distributing Ready-to-Query RDF Knowledge Graphs

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

    screenshot

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

    screenshot

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

    screenshot

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

    screenshot

  • openQA Open Question Answering Framework

    screenshot

  • Palmetto Palmetto is a quality measuring tool for topics

    screenshot

  • RDFaCE is an RDFa Content Editor based on TinyMCE

    screenshot

  • ROCKER Enhancing Dataset Quality using ROCKER

    screenshot

News

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"

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 Sandra Bartsch)

2019-08-01T10:35:05+02:00 Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"