OntoWiki


Semantic Collaboration for Enterprise Knowledge Management, E-Learning and E-Tourism

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.

News

Feed Title: blog.aksw.org (last 3 items)

AKSW tools prominently featured in TÜB?TAK
Börtecin Ege wrote an article on the Semantic Web in the December issue of TÜB?TAK (The Scientific and Technological Research Council of Turkey) prominently featuring DBpedia, Relfinder, LIMES, SPARQL Benchmark and other AKSW related research projects. See Semantik Web Tübitak Bilim Teknik 12 2011.

NLP Interchange Format (NIF) 1.0 Spec, Demo and Reference Implementation
The NLP Interchange Format (NIF) is an RDF/OWL-based format that aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. The core of NIF consists of a vocabulary, which can represent Strings as RDF resources. A special URI Design is used to pinpoint annotations to a part of a document. These [...]

DBpedia SPARQL Benchmark paper wins ISWC2011 best-paper award
The closing ceremony of ISWC2011 in Bonn is just over and we are excited to have won the best research paper award with our paper: Mohamed Morsey, Jens Lehmann, Sören Auer, Axel Cyrille Ngonga Ngomo: DBpedia SPARQL Benchmark ? Performance Assessment with Real Queries on Real Data. To appear in Proceedings of 10th International Semantic [...]


 
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