HOBBIT: Holistic Benchmarking of Big Linked Data

HOBBIT is a European project that develops a holistic open-source platform and industry-grade benchmarks for benchmarking big linked data.

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Summary

Big Data is one of the key assets of the future. However, the cost and efforts required for introducing Big Data technology in a value chain is significant. Mastering the creation of value from Big Data will enhance European competitiveness will result in economic growth and jobs and will deliver societal benefit. To facilitate the use of Big Linked Data, the European Union funds a research and innovation project called "HOBBIT". A European consortium, led by the Institute for Applied Informatics (InfAI) e.V., aims to develop a holistic benchmarking platform for big linked data and corresponding industry-grade benchmarks.

Premises

A key step towards abolishing the barriers to the adoption and deployment of Big Data is to provide European companies with open benchmarking reports that allow them to assess the fitness of existing solutions for their purposes. Achieving this goal demands: The deployment of benchmarks on data that reflects reality within realistic settings. The provision of corresponding industry-relevant key performance indicators. The computation of comparable results on standardized hardware.

Goals

HOBBIT aims to address these tasks by means of a strong team composed of leading research institutes, large industry customers and innovative small and medium-sized enterprises. In particular, the consortium will aim to achieve the following goals: Define benchmarks for domains of industrial relevance in Europe that make use of Big Linked Data. Determine the key performance indicators for processing Big Linked Data by collaborating with stakeholders from industry and research. Create an open benchmarking platform to evaluate the performance of state-of-the-art systems on standardized hardware. Organize yearly evaluation campaigns, using the platform and the industry-defined KPIs.

About HOBBIT

HOBBIT is a project within the EU’s "Horizon 2020" framework program and started on December 1st, 2015. The consortium consists of InfAI (coordinator, Germany), Fraunhofer IAIS (Germany), FORTH (Greece), NCSR "Demokritos" (Greece), iMinds (Belgium), USU Software AG (Germany), Ontos AG (Switzerland), OpenLink Software (UK), AGT Group R&D GmbH (Germany) and TomTom (Poland).

  • Duration: 12/2015–11/2018
  • Funding Programme: EU H2020 Research and Innovation Program

Publications

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News

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"

AKSW Colloquium, 27.03.2017, PPO & PPM 2.0: Extending the privacy preference framework to provide finer-grained access control for the Web of Data ( 2017-03-27T10:13:08+02:00 by Marvin Frommhold)

2017-03-27T10:13:08+02:00 by Marvin Frommhold

In the upcoming Colloquium, March the 27th at 3 PM Marvin Frommhold will discuss the paper “PPO & PPM 2.0: Extending the Privacy Preference Framework to provide finer-grained access control for the Web of Data” by Owen Sacco and John G. Read more about "AKSW Colloquium, 27.03.2017, PPO & PPM 2.0: Extending the privacy preference framework to provide finer-grained access control for the Web of Data"

DBpedia @ Google Summer of Code – GSoC 2017 ( 2017-03-13T11:12:50+01:00 Christopher Schulz)

2017-03-13T11:12:50+01:00 Christopher Schulz

DBpedia, one of InfAI’s community projects, will be part of the 5th Google Summer of Code program. The GsoC has the goal to bring students from all over the globe into open source software development. Read more about "DBpedia @ Google Summer of Code – GSoC 2017"