Presentation from the Rhein-Neckar Smart Data Meetup, Dec 09, 2015 in Heidelberg

1. Smart Data Applications powered by the
Wikidata Knowledge Graph
Peter Haase
Rhein-Neckar Smart Data Meetup
Heidelberg, 9.12.2015

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A Knowledge Graph

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The Rise of Knowledge Graphs

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Query the Knowledge of Wikipedia like a Database
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Wikipedia page A query against Wikidata

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• Collecting structured data. Unlike the
Wikipedias, which produce encyclopedic articles,
Wikidata collects data, in a structured form.
• Collaborative. The data in Wikidata is entered and
maintained by Wikidata editors, who decide on the
rules of content creation and management in
Wikidata supporting the notion of verifiability.
• Free. The data in Wikidata is published under the
Creative Commons
• Large.
• 15 million entities
• 34 million statements
• 80 million labels
• 350 languages
• >700 million triples
Wikidata

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“Blazegraph™ has been selected by
the Wikimedia Foundation to be the
graph database platform for the
Wikidata Query Service. Read the
Wikidata announcement here.
Blazegraph™ was chosen over Titan,
Neo4j, Graph-X, and others by
Wikimedia in their evaluation.”
Blazegraph Selected by Wikimedia

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The Wikidata Query Service lets users ask Wikidata
complex questions, and find out the answers.
• http://query.wikidata.org/
• RDF/SPARQL engine (Blazegraph)
• Live updates
• Simple GUI
• Options
– Use of publicWikidata Query Service
– Setup of own endpointbased on RDF export
Wikidata Query Service

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• Build your applications using Wikidata
• Free corpus of structured knowledge
• Easily accessible and standards-based
• Example:
• Google populates its Knowledge Graph from open sources
• Contextualize your enterprise data
• Wikidata provides stable identifiers for linking into the open data world
• Seamless integration of private data with open data
• Enrich Wikidata with your data
• Contribute your data to Wikidata
• Link to your own data, make it visible, Wikidata as a central hub
• Examples:
• Open biomedical databases
• Cultural heritage
Use Cases for the Wikidata Knowledge Graph

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Enable companies to build and leverage their
own knowledge graphs.
• Offerings
• Software portfolio (Horizontal technology)
• Solutions & Services (Vertical solutions)
• Training and Consulting
• Approach
• Open source platform
• Standards-based (W3C Semantic Technology Stack)
metaphacts Mission: Build your own Knowledge Graph

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metaphacts Supports the Whole Data Lifecyle
Data
Extraction &
Integration
Data Linking &
Enrichment
Storage &
Repositories
Querying &
Inferencing
Search
Visualization
Authoring
end-to-end
Platform

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metaphacts Platform Architecture
Data
Services
Applications
Graph Database Graph Analytics ProvenanceSPARQL Endpoint
Catalog Services Exploration VisualizationConfiguration Search Access Control
Knowledge Graph Management App Factory
End Users
Data Source Management
Expert Users
Smart Apps
Developers
Inferencing

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Demo Wikidata
http://wikidata.metaphacts.com/

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Entity Search

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Visual Search

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Natural Language Search

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Structured Search

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Structured Search

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• Cultural Heritage
• Pharma
• Industrie 4.0
Other Application Domains

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ResearchSpace: Cultural Heritage Knowledge Graphs

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● Wikidata Query Service – Query the knowledgeof
Wikipedia like a database
http://query.wikidata.org/
http://wikidata.metaphacts.com
● Blazegraph – Highly scalable graph database
http://blazegraph.com/
● metaphacts – Build and leverage your own enterprise
knowledge graph!
http://www.metaphacts.com
Summary

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metaphacts GmbH
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Germany
p +49 6227 6989965
m +49 157 50152441
e info@metaphacts.com
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