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Award for Prof. Dr. Axel Ngonga 
Photo: Next Einstein Forum Bildinformationen anzeigen

Award for Prof. Dr. Axel Ngonga Photo: Next Einstein Forum

News

Public SANSA Notebooks Deployment

| In this blog post, we highlight the demonstration of SANSA Notebooks. Semantic Analytics Stack (SANSA) is a project for developing open source algorithms for distributed data processing for large-scale RDF knowledge graphs. SANSA Notebooks are...

Automatic Generation of Benchmarks for Entity Recognition and Linking

| Since the amount of available textual documents is growing, there is also a growing need to be able to process these documents in an automatic way. Therefore, Named Entity Recognition and Linking are becoming more and more important for automatically...

DICE as organizers at ESWC 2018

| DICE organizes 3 challenges and 2 workshops at the Extended Semantic Web Conference 2018  

An introduction to Big Data Processing with Apache Spark

| Every second, a huge amount of public data is generated and stored worldwide. This amount is evering. Companies such as banks, airlines, telephone operators, retail chains and government agencies generate millions of data daily. When this information...

ScholarBrew

| We are happy to present the first version of ScholarBrew - our attempt to provide better insights into scholarly data using various visualisations. The current demo features core data taken from Semantic Scholar dataset. Due to quality issues with...

How to: Apache Jena Fuseki — 3.x.x

| If you are into Semantic Web and Linked Data, chances are you would have heard of (and probably worked with) Apache Jena. Even if you are just starting out, you are at the right place! For starters,

Technical Workshop at ICTCS conference in Amman, Jordan, October 27, 2017

| Ivan Ermilov (InfAI) from our technical team was invited to present the outcomes of the BDE project on the ICTCS conference earlier this month. The workshop named “Lowering the Barriers to Big Data Solutions” introduced the concepts of using Docker...

SOLIDE working meeting in Dortmund at PRO DV

| In this all-day workshop, the partners' tools were introduced to each other and the first ideas / questions for functional and technical implementation were exchanged. All participants found the meeting to be intense and successful.

Rule Mining and Inference in Large Graphs

| This blog post introduces HornConcerto, an algorithm for efficient knowledge discovery in large graphs. The current implementation allows rule mining from RDF graphs using SPARQL queries and the ability to infer new links from resources or literals...

IMPLEMENTING SCALABLE STRUCTURED MACHINE LEARNING FOR BIG DATA IN THE SAKE PROJECT

| The time-efficient exploration and analysis of large amounts of machine generated data is commonly regarded as necessary for the development of predictive maintenance as well as of condition monitoring solutions. However, numerical approaches create...

First Holistic Ranking Approach for RDF Data

| In this paper, we present the first holistic ranking approach for RDF data. Our approach, dubbed HARE, allows the simultaneous computation of ranks for RDF triples, resources, properties and literals. To this end, HARE relies on the representation of...

MFKC Most Frequent K Characters

| The Acronym MFKC means Most Frequent K Characters and was defined by Seker et al. (2014) for approximate string matching. This measure can compute a pair of strings rapidly, where the main characteristic is represented as hk(s), being a hash of the K...

TAIPAN: Microservice for generation of R2RML mappings for CSV tables

| TAIPAN is a generic approach to the extraction of RDF triples from tables. Given a table and a reference knowledge base, TAIPAN aims to (1) identify the column that contains the subject of the triples to extract, i.e., the subject column. To this...

Announcing Exoframe 1.0 — simple Docker deployment tool

| Exoframe started with one simple goal — to provide a straight-forward self-hosted solution that allows one-command deployments using Docker. We’ve been working on Exoframe since its beta announcement about 6 months ago. During that time, Exoframe has...

CEDAL

| The Acronym CEDAL means Consistency Error Detection Algorithm, which is an approach to finding erroneous links across knowledge bases by reusing unique URI semantics within given knowledge bases. In this novel time-efficient algorithm, the error...

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