The document discusses holistic benchmarking of big linked data through the HOBBIT platform. It outlines the benchmark creation process which involves collecting industry data and measures to develop benchmarks. The benchmarks evaluate key performance indicators and tasks across solutions. The platform then allows participants to deploy and benchmark solutions. The document also describes the types of benchmarks offered including streaming, static, and realistic benchmarks. It invites readers to get involved by participating in surveys, joining the community, providing key performance indicators and datasets, and assisting with platform development.

1. Holistic Benchmarking of Big Linked Data
Data Collection
Industry
data
Measure Collection
Benchmark Creation
Benchmark 1
KPIs
Tasks
KPIs
Tasks
KPIs
Tasks
KPIs
Tasks
KPIs
Tasks
KPIs
Tasks
Benchmark 2
Benchmark n
HOBBIT
Platform
Solution 1
Solution k
Solution 2
Challenges
Reports
Participants/Community
Axel Ngonga (InfAI) Project Overview June 22, 2016 1 / 1

2. What We Offer: Benchmarks
Streaming and static deterministic benchmarks
Realistic benchmarks
Controlled volume and velocity
Platform (including hardware) to deploy and benchmark
Generation and Acquisition
Conversion of XML into RDF
Entity recognition and linking
Relation extraction
Analysis and Processing
Link Discovery
Machine Learning
Supervised and unsupervised
Storage and Curation
Triple stores
Versioning
Incl. updates
Visualization and Services
Question Answering
Faceted Browsing
Usage-based benchmarks
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3. What We Want: You!
Participate in the survey
Join the HOBBIT community
Join the split sessions
Provide KPIs
Provide datasets
Join the platform development
http://project-hobbit.eu/get-involved/
http://goo.gl/forms/1iRIoG4Xpb
https://twitter.com/hobbit_project
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