Dear all, we are happy to announce DL-Learner 1.2. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.2 (Supervised Structured Machine Learning Framework) Released"
At the todays colloquium, Natanael Arndt will discuss the the paper “Co-evolution of RDF Dataset” by Sidra Faisal, Kemele M. Endris, Saeedeh Shekarpour and Sören Auer (2016, available on arXiv) Link: http://arxiv.org/abs/1601. Read more about "AKSW Colloquium, 01.02.2016, Co-evolution of RDF Datasets"
During the upcoming colloquium, Nilesh Chakraborty will give a short introduction on factorising RDF tensors and present a paper on “Holographic Embeddings of Knowledge Graphs”: Holographic Embeddings of Knowledge Graphs Authors: Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio Abstract: Learning embeddings … Continue reading → Read more about "Holographic Embeddings of Knowledge Graphs"
On the upcoming colloquium, Muhammad Saleem will present his paper “LargeRDFBench: A Billion Triples Benchmark for SPARQL Endpoint Federation” about the benchmarking of federated SPARQL endpoints. The other talk will be an introduction to the Docker ecosystem by Tim Ermilov. Read more about "AKSW Colloquium, 25.01.2016, LargeRDFBench and Introduction To The Docker Ecosystem"
HOBBIT, a new InfAI project within the EU’s “Horizon 2020″ framework program kicked-off in Luxembourg on 18 and 19 january in 2016. Read more about "HOBBIT project kick-off"