Tag Archives: link discovery

HOBBIT Highlights: Summary of HOBBIT challenges (1st & 2nd period)

The HOBBIT project has successfully organized two series of challenges in order to measure the performance of implemented systems in processing Big Linked Data. In total, we organized ten (10) challenges, five (5) in each period. In particular, during the first period, HOBBIT organized: the MOCHA challenge at ESWC 2017 (https://project-hobbit.eu/challenges/mighty-storage-challenge/) the OKE challenge at […]

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HOBBIT Spatial Benchmark V2.0

A number of real and synthetic benchmarks have been proposed for evaluating the performance of link discovery systems. So far, only a limited number of link discovery benchmarks target the problem of linking geo-spatial entities. However, some of the largest knowledge bases of the Linked Open Data Cloud, such as LinkedGeoData contain vast amounts of […]

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SQA Challenge

Question answering (QA) systems have recently become commercially viable (and lucrative) products, thanks to increasing investments and research and the development of intuitive and easy-to-use interfaces. Regular interactions with QA systems have become increasingly frequent and natural and the consumers’ expectations around their capabilities keep growing. Such systems are now available in various settings, devices […]

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Virtuoso development progress evaluated with the Data Storage benchmark

After Virtuoso took part in the MOCHA 2017 and MOCHA 2018 challenges, and won both, we at OpenLink wanted to benchmark and evaluate a set of different Virtuoso versions using the same benchmark setup, in order to get a comparative analysis and showcase the progress of its development. The benchmark which we set out to […]

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Katana & HOBBIT

USU Software AG is a mid-tier business competing in many areas of IT. Based on the insights of several research projects, we are currently improving our big data analytics and machine learning expertise. In the past, we were able to provide solutions for industrial big data analysis, applying machine learning and complex-event-processing technologies on sensor […]

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ESWC 2018 Challenges

The HOBBIT project organized three benchmarking challenges at the ESWC 2018 conference, which took place in Heraklion, Crete in Greece from June 3rd to June 7th, 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. […]

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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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Association Launch Announcement

During the second year of the project, HOBBIT has contacted BDVA with the aim of elaborating the creation of the HOBBIT association under its umbrella. After several rounds of negotiations, Special Group 7 under the existing task force 6 of BDVA was established . The task force focuses on technical aspects and standards for big […]

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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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