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 Disambiguatio

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

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  • Boa is a tool for pattern-based knowledge extraction.

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  • conTEXT Lightweight Text Analytics using Linked Data

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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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  • Fox is a Federated Knowledge Extraction Framework

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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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  • 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 Source Question Answering Framework

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  • Palmetto Palmetto is a quality measuring tool for topics

  • RDFaCE is an RDFa Content Editor based on TinyMCE

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

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  • Stanford Core NIF implementation.

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News

AKSW Colloquium: Edgard Marx and Tommaso Soru on Monday, February 23, 3.00 p.m. ( 2015-02-19T22:53:47+01:00 TommasoSoru)

2015-02-19T22:53:47+01:00 TommasoSoru

On Monday, 23rd of February 2015, Edgard Marx will introduce Smart, a search engine designed over the Semantic Search paradigm; subsequently, Tommaso Soru will present ROCKER, a refinement operator approach for key discovery. Abstract – Smart Since the conception of the Web, search engines play a key role in making content available. Read more about "AKSW Colloquium: Edgard Marx and Tommaso Soru on Monday, February 23, 3.00 p.m."

Call for Feedback on LIDER Roadmap ( 2015-02-17T15:38:54+01:00 by Amrapali Zaveri)

2015-02-17T15:38:54+01:00 by Amrapali Zaveri

The LIDER project is gathering feedback on a roadmap for the use of Linguistic Linked Data for content analytics.  We invite you to give feedback in the following ways: Attend and discuss with us at the public conference call on 19 February 3 p.m. Read more about "Call for Feedback on LIDER Roadmap"

AKSW Colloquium: Konrad Höffner and Michael Röder on Monday, February 16, 3.00 p.m. ( 2015-02-16T13:45:51+01:00 by Konrad Höffner)

2015-02-16T13:45:51+01:00 by Konrad Höffner

CubeQA—Question Answering on Statistical Linked Data by Konrad Höffner Abstract Question answering systems provide intuitive access to data by translating natural language queries into SPARQL, which is the native query language of RDF knowledge bases. Statistical data, however, is structurally very different from other data and cannot be queried using existing approaches. Read more about "AKSW Colloquium: Konrad Höffner and Michael Röder on Monday, February 16, 3.00 p.m."

Kick-off of the FREME project ( 2015-02-16T12:50:49+01:00 by Amrapali Zaveri)

2015-02-16T12:50:49+01:00 by Amrapali Zaveri

Hi all ! A new InfAI project, FREME, kicked off in Berlin. FREME – Open Framework of E-Services for Multilingual and Semantic Enrichment of Digital Content is an H2020 funded project with the objective of building an open, innovative, commercial-grade framework of e-services for multilingual and semantic enrichment of digital content. Read more about "Kick-off of the FREME project"

DL-Learner 1.0 (Supervised Structured Machine Learning Framework) Released ( 2015-02-13T10:38:26+01:00 by Dr. Jens Lehmann)

2015-02-13T10:38:26+01:00 by Dr. Jens Lehmann

Dear all, we are happy to announce DL-Learner 1.0. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. DL-Learner can use various RDF and OWL serialization formats as well as SPARQL endpoints as input, can connect to most popular OWL reasoners and is easily and flexibly configurable. Read more about "DL-Learner 1.0 (Supervised Structured Machine Learning Framework) Released"