Aim of the project was to (further) develop AKSW's semantic data wiki technology platform by integrating view maintenance, query subsumption and schema evolution algorithms for the RDF data model and adopt it towards the requirements of business information systems and Web content management.

  • Partners: Ebrosia GmbH, Business Intelligence GmbH (D), Netresearch GmbH & Co. KG (D)
  • Duration: 2009–2011
  • Funding Programme: WK Potential, German Ministry of Education and Research (BMBF)

Project Page

This project prepares and starts the commercial exploitation of the semantic collaboration software OntoWiki in the three different target markets Enterprise Knowledge Management, semantically enhanced content management for E-Learning and E-Tourism. OntoWiki is a comprehensive semantic collaboration platform. OntoWiki is open-source software and a Web application, which can be installed at any Web space and accessed by an ordinary Web browser. Onto­Wiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data. It enables intuitive authoring of semantic content, with an inline editing mode for editing semantic content, similar to WYSIWIG for text documents. OntoWiki is developed at Universität Leipzig and has a large and active user base. Within the course of the project OntoWiki will be further developed and adopted to the needs of the SME participants for exploitation of OntoWiki in the prospective target markets.

Project Page

With the Linked Open Data Around-The-Clock (LATC) Support Action leverage the Linking Open Data cloud for research and product purposes will be enabled by:

  • Deploying a 24/7 infrastructure to continuously monitor and improve the quality of data links within the Linking Open Data cloud.
  • Lowering the access-barrier for data publishers as well as data consumers. We assemble and maintain a library of open source Linked Data tools and provide a data source inventory to the community.
  • Creating and maintaining an in-depth test-bed for data intensive applications by publishing datasets produced by the European Commission, the European Parliament, and other European institutions as Linked Data on the Web and by interlinking them with other governmental data.
  • Supporting both institutions as well as individuals with tutorials and best practices concerning Linked Data publication and consumption.

LATC Project Page

The outputs of this project will range from sci-tech to socio-economic areas by providing new technologies and an underlying scientific basis for these and by applying these new technologies to a number of Semantic Web areas experiencing commercial (enterprise search, media and publishing), scientific (extraction, interlinking, ontology classification and fusion methods), and sociological (community knowledge, integration in social networks, eGovernment) success at present. The project aims to contribute high-quality interlinked versions of public Semantic Web data sets, promoting their use in new cross-domain applications by developers across the globe. The new technologies for enabling scalable management of Linked Data collections in the many billions of triples will raise the state of the art of Semantic Web data management, both commercial and open-source, providing opportunities for new products and spin-offs, and make RDF a viable choice for organizations worldwide as a premier data management format. The algorithms and (open-source) tools that the project will develop for data cleaning, linking and fusing will help creating and bootstrapping new data sets in domains that go much beyond the direct applications and data sets developed in the context of this project, to reach the overall goal of the project of making Linked Data the model of choice for next-generation IT systems and applications.

LOD2 - Project Page

The latest demonstration platform for the SoftWiki tools has been updated. The installation is available at

The platform also provides hosting of requirement engineering projects. The current version has included a visualization module. Based on the assumption that glossary terms are reflected directly in a project model (class diagram). The module allows tracking the effects of new requirements for the project model.

The service http://linkedhistory.aksw.org/pnd/ has been updated.  Current affiliations are now on the PND (Person Name Key file) of the professor to the following catalog databases.

  • Katalog der Deutschen Nationalbibliothek
  • He BIS- Verbundzentrale
  • Professorenkatalog der Universität Leipzig
  • Bayerische Staatsbibliothek
  • Wikimedia Commons
  • Deutschsprachige Wikipedia
  • Titel im Verbundkatalog des GBV
  • Biographische Informationen des Registers zu www.deutsche-biographie.de
  • Biographien in der Neuen Deutschen Biographie
  • Sächsische Biografie
  • Historische Vorlesungsverzeichnisse der Universität Leipzig
  • Eintrag im Biographisch-Bibliographischen Kirchenlexikon (BBKL)
  • Mitglieder der Vorgaengerakademien der Berlin-Brandenburgischen Akademie der Wissenschaften
  • Die Rektoren der Rektoratsreden.
  • Eintrag im Catalogus Professorum Rostochiensis (CPR)
  • Die Rektoren der Rektoratsreden.
  • Mitglieder der Bayerischen Akademie der Wissenschaften
  • Wikisource
  • Allgemeine Deutsche Biographie (Wikisource)
  • Biographien in der Allgemeinen Deutschen Biographie
  • Biogramm in der Online-Version der Edition “Akten der Reichskanzlei. Weimarer Republik”
  • Deutsche Zentralbibliothek für Wirtschaftswissenschaften (ZBW) – Leibniz-Informationszentrum Wirtschaft
  • Hessisches Landesamt fuer geschichtliche Landeskunde
  • Volltexte (und evtl. Biographie) bei Zeno.org
  • Titel im VD17
  • Eintrag im Historischen Lexikon der Schweiz (HLS)
  • Forschungsstelle für Personalschriften, Germany
  • Nachweise von Onlinetexten bei Liberley
  • Landesbibliothekszentrum Rheinland-Pfalz
  • Biographie in der Ostdeutschen Biographie (Kulturstiftung der deutschen Vertriebenen)

SoftWiki supports, with respect to software requirements, the cooperation of all the people involved in the software development process. Potentially very large and spatially separate stakeholder groups are enabled to gather, semantically enrich, classify and aggregate software requirements in an easy manner.