Yet another project for improving the access to Linked Data! It is our pleasure to announce the first version of the Assisted Linked Data Consumption Engine (ALOE). The aim of ALOE project is to assist users during the consumption from and fusion of Linked Data sources. ALOE achieves this goal by discovering class and property mappings across endpoints even when no schema information is available. Moreover, ALOE provides several functions for transforming the data from the source knowledge base into a format that corresponds to that of the target knowledge base. Therewith, ALOE enables lay and experienced users to consume Linked Data with great ease. More information on ALOE can be found at

http://aksw.org/projects/aloe

Cheers,
Axel

We partook in the organization of the Semantics and Media Workshop at the University of Mainz, where Axel is a Research Fellow. The aim of the workshop was to bring practitioners and research all around media and semantics together and to discuss the application of semantic technologies to achieve media representation, retrieval and convergence. The workshop took place from the 14th to the 15th and attracted four dozen practitioners and researchers from multiple areas such as publishing, semantic web, information retrieval and classification as well as digital humanities. Results from our research projects LOD2 and SCMS were received with great interest by the participants. The presentations (incl. Sören’s) will be available here soon. Furthermore, the talks will be published asap.

Stay tuned,
Axel

We are happy to announce the beta release of RDFaCE (RDFa Content Editor). RDFaCE is an online text editor based on TinyMCE. It supports authoring of RDFa content.

In addition to two classical views for text authoring (WYSIWYG and HTML Source Code view) , RDFaCE  supports two novel views for semantic content authoring namely WYSIWYM (What You See Is What You Mean) and a Triple view (aka. Fact View).

The WYSIWYM displays semantic annotations on top of classical WYSIWYG view which is widely used for Web content creation. It uses dynamic CSS stylesheets to distinguish semantic content from normal content.

The triple view is another semantic view which only shows the facts (i.e. triples) stated in the text. RDFaCE provides a syncronization between these four views so that changes in one view cause respective changes in the other views.

Another important RDFaCE feature is the combining of results from multiple NLP APIs to facilitate the semantic authoring process with automatic annotations. This feature provides an initial set of annotations for users that can be modified and extended later on.

A demo version of RDFaCE is available at http://rdface.aksw.org. To see a short screencast of RDFaCE features, visit here. For more information visit the RDFaCE Project Page.

We could not resist the pleasure of making the demo of the new release candidate of LIMES (0.5RC1) available for all. LIMES 0.5 comes fitted with a new grammar for complex metric specification and fully novel algorithms. The new version of our framework scales even better than the previous ones and is several order of magnitude faster than other Link Discovery Frameworks. We are currently cleaning the code and adding some more features here and there. Stay tuned for the upcoming release. More information on the project and a demo can be accessed at http://limes.sf.net.

Link on!
Axel

We are thrilled to announce the first version of the Federated knOwledge eXtraction (FOX) framework. FOX integrates and merges the results of frameworks for Named Entity Recognition, Keyword/Keyphrase Extraction and Relation Extraction by using machine learning techniques. By these means, FOX can generate RDF out of natural language with improved accuracy. FOX has been shown to be up to 15% more accurate than other frameworks, including commercial software. More information at http://fox.aksw.org.

Stay tuned for more releases,
Axel