Smart Data Applications powered by the Wikidata Knowledge Graph

Peter HaaseRhein-Neckar Smart Data MeetupHeidelberg, 9.12.2015

2

A Knowledge Graph

3

The Rise of Knowledge Graphs

4

Querythe Knowledge ofWikipedialike aDatabase

4

Wikipedia page Aquery against Wikidata

5

• Collecting structured data. Unlike theWikipedias, which produce encyclopedic articles,

Wikidata collects data, in a structured form.

• Collaborative. The data in Wikidata is entered andmaintained by Wikidata editors, who decide on therules of content creation and management in

Wikidata supporting the notion of verifiability.

• Free. The data in Wikidata is published under theCreative Commons

• Large.

• 15 million entities

• 34 million statements

• 80 million labels

• 350 languages

• >700 million triples

Wikidata

6

7

“Blazegraph™hasbeenselectedby

theWikimediaFoundationtobethe

graphdatabaseplatformforthe

Wikidata QueryService.Readthe

Wikidata announcementhere.

Blazegraph™waschosenoverTitan,

Neo4j,Graph-X,andothersby

Wikimediaintheirevaluation.”

Blazegraph SelectedbyWikimedia

8

TheWikidata QueryService lets users ask Wikidata

complex questions,and findoutthe answers.

• http://query.wikidata.org/

• RDF/SPARQLengine (Blazegraph)

• Liveupdates

• SimpleGUI

• Options

– Use of publicWikidata QueryService

– Setupof own endpointbased onRDFexport

Wikidata Query Service

9

• 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

10

Enable companies to build and leverage theirown 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

11

metaphacts Supports the Whole Data Lifecyle

Data

Extraction&

Integration

Data Linking&

Enrichment

Storage&

Repositories

Querying&

Inferencing

Search

Visualization

Authoring

end-to-end Platform

12

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

13

Demo Wikidata

http://wikidata.metaphacts.com/

14

Entity Search

15

Visual Search

16

Natural Language Search

17

18

Structured Search

19

Structured Search

20

• Cultural Heritage

• Pharma

• Industrie 4.0

Other Application Domains

21

ResearchSpace: Cultural Heritage Knowledge Graphs

22

● Wikidata QueryService– Querythe knowledgeof

Wikipedialike adatabase

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

23

metaphacts GmbHIndustriestraße 41

69190 Walldorf

Germany

p +49 6227 6989965

m +49 157 50152441

e info@metaphacts.com

@metaphacts

Contact us!