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"
Hi all! One of AKSW’s Big Data Project, SAKE – Semantische Analyse Komplexer Ereignisse (SAKE – Semantic Analysis of Complex Events) kicked-off in Karlsruhe. SAKE is one of the winners of the Smart Data Challenge and is funded by the German BMWi (Bundesministerium für Wirtschaft und Energie) and has a duration of 3 years. Read more about "Kick-Off for the BMWi project SAKE"
Dear followers, 9 members of AKSW have been participating at the 13th International Semantic Web Conference (ISWC) at Riva del Garda, Italy. Read more about "AKSW successful at #ISWC2014"
Greetings! After a week full of exciting presentations, demos, posters and especially keynotes AKSW members are back from the 11th Extended Semantic Web Conference 2014 (ESWC). Furthermore, we bring happy news with us. AKSW members won four prizes this year! Read more about "AKSW successful at ESWC 2014"
In the recent years the LOD2 stack established a collection of applications developed in the context of the LOD2 project, presented as an unified environment. These applications are referred to as components although they can also be installed independently. Read more about "LOD2 STACK USABILITY SURVEY STARTED"