SAKE: With RDF and Machine Learning Getting Results Faster

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The increasing use of automation in machine and plant construction has inevitably led to a large growth in the number of industrial production processes being recorded and monitored by sensors. If the vast quantities of data this generates could be centrally evaluated in real time it would be possible for the results to be used to optimize internal processes and drastically reduce production costs. Unfortunately, the most commonly used data analysis tools are simply not designed to handle such enormous amounts of real time data. The SAKE project has been set up to resolve this problem by developing a framework specifically designed to analyze these vast streams of data. By implementing prefabricated modules it will also be possible to use individual applications in a number of different roles. The modules will be evaluated in real-life industrial environments by the project's industrial partners.

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  • Duration: 12/2014 - 12/2017
  • Funding Programme: BWMi (Federal Ministry for Economic Affairs and Energy)

Publications

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News

The USPTO Linked Patent Dataset release ( 2017-02-24T17:18:51+01:00 by Mofeed Hassan)

2017-02-24T17:18:51+01:00 by Mofeed Hassan

Dear all, We are happy to announce USPTO Linked Patent Dataset release. Patents are widely used to protect intellectual property and a measure of innovation output. Read more about "The USPTO Linked Patent Dataset release"

Two accepted papers in ESWC 2017 ( 2017-02-22T17:43:38+01:00 by Dr. Mohamed Ahmed Sherif)

2017-02-22T17:43:38+01:00 by Dr. Mohamed Ahmed Sherif

Hello Community! We are very pleased to announce the acceptance of two papers in ESWC 2017 research track. The ESWC 2017 is to be held in Portoroz, Slovenia from 28th of May to the 1st of June. Read more about "Two accepted papers in ESWC 2017"

AKSW Colloquium, 13th February, 3pm, Evaluating Entity Linking ( 2017-02-09T15:53:07+01:00 Michael Roeder)

2017-02-09T15:53:07+01:00 Michael Roeder

On the 13th of February at 3 PM, Michael Röder will present the two papers “Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job” of van Erp et al. Read more about "AKSW Colloquium, 13th February, 3pm, Evaluating Entity Linking"

SLIPO project kick-off meeting ( 2017-02-03T12:59:48+01:00 by Sandra Bartsch)

2017-02-03T12:59:48+01:00 by Sandra Bartsch

SLIPO, a new InfAI project kicked-off between the 18th and 20th of January in Athens, Greece. Funded by the EU-program “Horizon 2020”, the project is planned to have an operational time until the 31st of December 2019. Read more about "SLIPO project kick-off meeting"

AKSW Colloquium 30.Jan.2017 ( 2017-01-30T13:24:04+01:00 by Simon Bin)

2017-01-30T13:24:04+01:00 by Simon Bin

In the upcoming Colloquium, Simon Bin will discuss the paper “Towards Analytics Aware Ontology Based Access to Static and Streaming Data” by Evgeny Kharlamov et.al. that has been presented at ISWC2017. Read more about "AKSW Colloquium 30.Jan.2017"