Article accepted in Journal of Web Semantics
We are happy to announce that the article “DL-Learner – A Framework for Inductive Learning on the Semantic Web” by Lorenz Bühmann, Jens Lehmann and Patrick Westphal was accepted for publication in the Journal of Web Semantics: Science, Services and Agents on … Continue reading →
AKSW Colloquium, 04.07.2016. Big Data, Code Quality.
On the upcoming Monday (04.07.2016), AKSW group will discuss topics related to Semantic Web and Big Data as well as programming languages and code quality. In particular, the following papers will be presented: S2RDF: RDF Querying with SPARQL on Spark … Continue reading →
Accepted Papers of AKSW Members @ Semantics 2016
This year’s SEMANTiCS conference which is taking place between September 12 – 15, 2016 in Leipzig recently invited for the submission of research papers on semantic technologies. Several AKSW members seized the opportunity and got their submitted papers accepted for … Continue reading →
AKSW Colloquium, 27.06.2016, When owl:sameAs isn’t the Same + Towards Versioning for Arbitrary RDF Data
In the next Colloquium, June the 27th at 3 PM, two papers will be presented: When owl:sameAs isn’t the Same: An Analysis of Identity in Linked Data André Valdestilhas will present the paper “When owl:sameAs isn’t the Same: An Analysis of Identity … Continue reading →
AKSW Colloquium, 04.04.2016, AMIE + Structured Feedback
In this week’s Colloquium, today 4th of April at 3 PM, Lorenz Bühmann will present the paper by Galárraga et al. titled “AMIE: Association Rule Mining under Incomplete Evidence in Ontological Knowledge Bases.” [PDF]. Abstract Recent advances in information extraction … Continue reading →
AKSW takes part in BMWi-funded GEISER project
The AKSW group is the technical lead of the recently started GEISER (from sensor data towards internet-based geospatial services) project funded by the Federal Ministry for Economic Affairs and Energy (BMWi) under grant agreement number 01MD16014E. The GEISER project will … Continue reading →
DIESEL project finished first mile stone
DIESEL is a European project funded by the Eurostars Eureka grant (E!9367) and is running from 1st September 2015 to 31st September 2018. The goal of the DIESEL project is to develop a novel scalable approach to enable search through … Continue reading →
AKSW Colloquium, 15.02.2016, Mandolin + X-Feasible
On the 15th of February at 3 PM, Tommaso Soru will present his ongoing research titled “Mandolin: Markov Logic Networks for Discovering Links”. Abstract Among the several approaches for Knowledge Discovery in non-relational databases which have been proposed so far, … Continue reading →
DL-Learner 1.2 (Supervised Structured Machine Learning Framework) Released
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. DL-Learner can use various RDF and OWL serialization formats as well as SPARQL endpoints as input, can … Continue reading →
AKSW Colloquium, 01.02.2016, Co-evolution of RDF Datasets
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/1601.05270v1 Abstract: For many use cases it is not … Continue reading →