Tag Archives: rdf dataset generator

Generating Transport Data

The growing amount of navigation services’ users provide many opportunities to improve driving conditions by making a better use of the road network. However, collecting large quantities of such data can be difficult due to both costs and privacy concerns. TomTom collects large amounts of anonymized traffic data, respecting the user’s right to privacy: https://www.tomtom.com/en_gb/privacy/. […]

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Mimicking of Production Machine Event Data

The project HOBBIT aims to provide a platform for technology users, solution providers, and scientific community to assess the fitness of existing solutions for their purposes based on industrial data. The challenge here is to provide a tool to reproducible generate an arbitrary amount of these data for different benchmarks. The solution within HOBBIT is […]

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HOBBIT Benchmarking Platform version 2

We are happy to announce the release of the second version of the HOBBIT Benchmarking Platform. During the last months, we improved the stability of the platform as well as the set of features it supports. The full list of the features implemented in version 2 are listed below. Improved the usability of the platform […]

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Benchmarking Versioning Systems with SPVB v2.0

There exist a number of storage benchmarks that test the ability of Linked Data systems to store and query data in an efficient way without addressing the management of data versions. To the best of our knowledge only a limited number of versioning systems (mostly academic) and benchmarks exist for storing versions and testing the […]

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Data Generation in HOBBIT using TomTom’s Mimicking Algorithm

The number of users of navigation services continues to grow, either using the vehicle’s built-in unit, a dedicated device or a smartphone application. This enables the collection of extensive amounts of floating car data, which can be used to extract information relevant to a number of applications like road administration, traffic management and jam avoiding […]

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Generating Big Linked Data for HOBBIT: Mimicking Production Machine and IT Data

With the digitalization in manufacturing and European initiatives like Factory of the Future or national programs like Industrie 4.0 supporting this development, the need for processing big data, coming from sensors, machine logs, Internet of Things (IoT) devices, and other sources is becoming more and more important especially when it comes to bringing added value […]

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Architecture of the HOBBIT Platform

During the runtime of the HOBBIT project, we have collected several requirements from the community which should be fulfilled by a Big Linked Data benchmarking platform. All these requirements influenced the final architecture of our platform. However, this blog post will focus on its central functionality: we want to offer a platform that enables any […]

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Hobbit @ ESWC 2017

The HOBBIT project organized three benchmarking challenges at the ESWC 2017 conference, which took place in Portoroz, Slovenia from May 28th to June 1st, as it aims to bring together and inspire people from academia and industry to come up with fresh and innovative ideas on solving real-life problems concerning Big Linked Data. We are […]

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Hobbit @ DEBS 2017

Using HOBBIT platform at DEBS Grand Challenge considered as major improvement At this year’s Distributed Events Processing Systems conference (DEBS 2017) the HOBBIT platform has demonstrated its ability to objectively quantify the performance of anomaly detection algorithms that process RDF data in real-time. Dr. Roman Katerinenko and Dr. Martin Strohbach, both AGT International were representing […]

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A platform for benchmarking Big Linked Data solutions

One of the major goals of the HOBBIT project is to provide a benchmarking platform supporting the benchmarking of Big Linked Data solutions. This platform needs to a) enable benchmarking in a b) scalable way on c) different platforms and d) support the execution of benchmarking challenges. Additionally, the platform should be made available as […]

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