Partners

Beuth Hochschule für Technik Berlin

Beuth University of Applied Sciences Berlin the university is one of Germany‘s ten largest state universities of applied sciences. With a wide range of forward-looking degree courses and a staff of highly qualified specialists, Beuth University encourages the career opportunities of all prospective and current students, regardless of their social background. Read more about Beuth Hochschule für Technik Berlin

We are partner in the following project(s) with Beuth Hochschule für Technik Berlin:

  • Smart Data WebCreation of an industry knowledge base for the German industry.

Data and Web Science Group Mannheim

The Data and Web Science group is hosted at the University of Mannheim. Read more about Data and Web Science Group Mannheim

We are partner in the following project(s) with Data and Web Science Group Mannheim:

  • GOLDGenerating Ontologies from Linked Data

Fraunhofer IAIS

We are partner in the following project(s) with Fraunhofer IAIS:

  • BDEBig Data Europe
  • GEISERVon Sensordaten zu internetbasierten Geo-Services
  • HOBBITHolistic Benchmarking of Big Linked Data
  • SAKEWith RDF and Machine Learning Getting Results Faster
  • SlideWiki.euLarge-scale pilots for collaborative OpenCourseWare authoring, multiplatform delivery and Learning Analytics.
  • SLIPOScalable Linking and Integration of Big POI data


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Heidelberger Druckmaschinen AG

The Heidelberger Druckmaschinen AG have already developed an expertise with online monitoring and the analysis of printing machines through their Remote Diagnosis system. Their Remote Services department uses systems specifically designed to check the log files of machines for known errors. They have also developed a prototype system aimed at the early detection of errors. It works by using specific indicators within basic set parameters and emits an advance warning in sufficient time to avoid unplanned machine breakdowns. Considering, however, the size and complexity of future data volumes and the many possibilities offered by Big Data technologies their current methods will at some point no longer be sufficient and it is for this reason that the prototype will continue to be developed within the Web-Based Remote Monitoring project. Automatically generated algorithms (EPN – Event Processing Network) describe the causal connections which use a trigger point (error time) within the log file data of a printing system. Heidelberg have also introduced to the project application-specific cases, printing systems' mass data and expertise in domain-specific data analysis. Verification of the analytic results takes place in pilot markets within the global Heidelberg service organisation. Read more about Heidelberger Druckmaschinen AG

We are partner in the following project(s) with Heidelberger Druckmaschinen AG:

  • SAKEWith RDF and Machine Learning Getting Results Faster

Kanzlei Boehmert & Boehmert (D)

We are partner in the following project(s) with Kanzlei Boehmert & Boehmert (D):

  • ART-e-FACTMedia continuity artefact management

uberMetrics Technologies GmbH

Founded in 2011, Ubermetrics refines and filters public information from online and offline sources to help companies optimize business decisions and performance. We’ve spent the past years developing technology to harness the power of massive amounts of public data and information so our users can quickly react to the needs of their customers, new opportunities, and fast-changing market dynamics. Read more about uberMetrics Technologies GmbH

We are partner in the following project(s) with uberMetrics Technologies GmbH:

  • Smart Data WebCreation of an industry knowledge base for the German industry.

USU Software AG

USU Software AG is the parent company of the USU Group and is listed in the Prime Standard section of the German Stock Exchange. The company was founded in 1977 and offers its customers strategies, consultation, software solutions and services based on an all-encompassing combination of knowledge and experience of corporate processes and applications. USU is Europe's largest supplier of IT and knowledge management solutions in their respective business segments. Their Valuemation series of products gives the company a high quality portfolio with which to support ITIL-based IT and service management. USU use KnowledgeCenter technology alongside their own active knowledge databases to answer over 25 million separate queries to their call and service center every year – all of them handled efficiently and to a high standard. The company's portfolio is complemented by the USU Lifebelt self-service solution and the USU KnowledgeScout interactive advisory system for technical field staff. Additional core skills include process and system integration based on service orientated architectures (SOA). The USU research facility develops industrial Big Data systems designed to continually monitor and analyze sensor data as well as related automated service systems. USU is responsible for the entire coordination and integration of the SAKE project with an additional focus on data processing, user interfaces, usability and use cases. Read more about USU Software AG

We are partner in the following project(s) with USU Software AG:

  • GEISERVon Sensordaten zu internetbasierten Geo-Services
  • HOBBITHolistic Benchmarking of Big Linked Data
  • SAKEWith RDF and Machine Learning Getting Results Faster

VICO Research & Consulting GmbH

With its VICO Intelligence technology, the company offers customers tailored solutions for social media monitoring and Big Data applications. Social Media Research and Digital Marketing round out the portfolio of VICO Research & Consulting GmbH. Among the customers of VICO are international B2C companies and key players in German industry from automotive to pharmaceuticals to fast moving consumer goods. Sophisticated solutions inspire us. Read more about VICO Research & Consulting GmbH

We are partner in the following project(s) with VICO Research & Consulting GmbH:

  • Smart Data WebCreation of an industry knowledge base for the German industry.

News

SML-Bench 0.2 Released ( 2017-05-11T13:01:45+02:00 by Patrick Westphal)

2017-05-11T13:01:45+02:00 by Patrick Westphal

Dear all, we are happy to announce the 0.2 release of SML-Bench, our Structured Machine Learning benchmark framework. SML-Bench provides full benchmarking scenarios for inductive supervised machine learning covering different knowledge representation languages like OWL and Prolog. Read more about "SML-Bench 0.2 Released"

AKSW Colloquium, 08.05.2017, Scalable RDF Graph Pattern Matching ( 2017-05-08T09:42:49+02:00 by Lorenz Bühmann)

2017-05-08T09:42:49+02:00 by Lorenz Bühmann

At the AKSW Colloquium, on Monday 8th of May 2017, 3 PM, Lorenz Bühmann will discuss a paper titled “Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching” of Kim et al. Read more about "AKSW Colloquium, 08.05.2017, Scalable RDF Graph Pattern Matching"

ESWC 2017 accepted two Demo Papers by AKSW members ( 2017-04-19T10:19:43+02:00 Christopher Schulz)

2017-04-19T10:19:43+02:00 Christopher Schulz

Hello Community! The 14th ESWC, which takes place from May 28th to June 1st 2017 in Portoroz, Slovenia, accepted two demos to be presented at the conference. Read more about them in the following:                                                                         1. Read more about "ESWC 2017 accepted two Demo Papers by AKSW members"

AKSW Colloquium, 10.04.2017, GeoSPARQL on geospatial databases ( 2017-04-07T10:43:55+02:00 by Dr. Matthias Wauer)

2017-04-07T10:43:55+02:00 by Dr. Matthias Wauer

At the AKSW Colloquium, on Monday 10th of April 2017, 3 PM, Matthias Wauer will discuss a paper titled “Ontop of Geospatial Databases“. Read more about "AKSW Colloquium, 10.04.2017, GeoSPARQL on geospatial databases"

AKSW Colloquium, 03.04.2017, RDF Rule Mining ( 2017-03-31T13:39:28+02:00 TommasoSoru)

2017-03-31T13:39:28+02:00 TommasoSoru

At the AKSW Colloquium, on Monday 3rd of April 2017, 3 PM, Tommaso Soru will present the state of his ongoing research titled “Efficient Rule Mining on RDF Data”, where he will introduce Horn Concerto, a novel scalable SPARQL-based approach … Continue reading → Read more about "AKSW Colloquium, 03.04.2017, RDF Rule Mining"