Transcript
Page 1: Sebastian Hellmann: Why open data should be open linked data

Open Data Prague – 2013/10/10 – Page 1 http://lod2.euCreating Knowledge out of Interlinked Data

LOD2 Presentation . 02.09.2010 . Page http://lod2.euAKSW, Universität Leipzig

Sebastian Hellmann

Why Open Data should be Open Linked Data?

http://lod2.eu

http://slideshare.net/kurzum

Page 2: Sebastian Hellmann: Why open data should be open linked data

Open Data Prague – 2013/10/10 – Page 2 http://lod2.eu

1. Terminology

→ Open Linked Data vs. Linked Open Data

2. Level Up

→ breaking it down

3. Perspectives

→ solutions / approaches

Overview

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Open Data Prague – 2013/10/10 – Page 3 http://lod2.eu

1. Terminology

Open Data

→ data that is open (more on the next slide)

Linked Data

→ a standardized technology by W3C (based on RDF) to publish and interlink data on the web

Linked Open Data vs. Open Linked Data

→ mixture

Overview

Page 4: Sebastian Hellmann: Why open data should be open linked data

Open Data Prague – 2013/10/10 – Page 4 http://lod2.eu

1. Terminology

Open Data

→ data that is open (more on the next slide)

Linked Data

→ a standardized technology by W3C (based on RDF) to publish and interlink data on the web

Linked Open Data vs. Open Linked Data

→ mixture

Overview

This talk is about Open Linked Data:Open Data using Linked Data technology

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Open Data Prague – 2013/10/10 – Page 5 http://lod2.eu

http://lod-cloud.net LOD Cloud

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Open Data Prague – 2013/10/10 – Page 6 http://lod2.eu

http://lod-cloud.net LOD Cloud

Linked Open Data

- All datasets provide open access to individual records via HTTP- Many are free (no payment required, as in royalty-free)- Some are openly licensed, e.g. CC-0 or CC-BY-SA

=> Open access also applies to published HTML on the WWW, but in LOD the data itself is published via Linked Data

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http://lod-cloud.net

DBpedia:http://dbpedia.org/resource/Prague

→ http://rdf.freebase.com/ns/m.05ywg→ http://sws.geonames.org/3067696/→ http://linkedgeodata.org/triplify/node26270934

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Level up Public Data Infrastructure

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Public infrastructure:

● Brick and mortar:

→ Roads, electricity, water, sewage

● Public services:

→ child care, libraries, schools

● Economic services:

→ social security, currency, economic stability

● Data infrastructure:

→ ???

Public infrastructure

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Open Data Prague – 2013/10/10 – Page 10 http://lod2.eu

Public infrastructure:

● Brick and mortar:

→ Roads, electricity, water, sewage

● Public services:

→ child care, libraries, schools

● Economic services:

→ social security, currency, economic stability

● Data infrastructure:

→ ???

Public infrastructure

Not clearly defined yet, but like roads, it should provide a vital benefit for citizens and companies

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Open Data Prague – 2013/10/10 – Page 11 http://lod2.eu

Public infrastructure

Open Data Strategy (Ref: IP/11/1524) expected to deliver €40 billion boost to the EU's economy each year

Data becomes a tradable commodity, “the value of data increases the more you share it”

©Nigel Holmes 2012 / from The Human Face of Big Data

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• Public transportation data is highly usefull

• Travel companies currently can not plan point-to-point

• At each level (city, country, airplanes) different visualizations are

used (most not very good ones)

Public data infrastructure example

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What is the current state of your local public data infrastructure?

● List of street names with geo-coordinates and zip codes

● List of companies in your area

● Electricity usage

● Pollution measurements

● Weather data

Public data infrastructure

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Open Data Prague – 2013/10/10 – Page 14 http://lod2.eu

What is the current state of your local public data infrastructure?

● List of street names with geo-coordinates and zip codes

● List of companies in your area

● Electricity usage

● Pollution measurements

● Weather data

Public data infrastructure

Measurement: - How easy can you get high quality data?- Are the roads built or do you have to built them yourself?

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Power-Up 1: Open access to data

Cost factor 1:

- Can I download the data?

- Do I have to scrape it?

- scraping HTML / PDF / RTF / Word quite work intensive

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Power-Up 1: Open access to data

No open access→ no benefit for data consumers→ no mushroom

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Power-Up 2: Open data

Open Data is the enabler to share the cost of data integration

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• Level 2 data:

• Downloadable + re-publishable

• Anybody can add value

• Obviously a great infrastructure for an economy

Public data infrastructure example

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Standardization and best practices keep our society efficient and effective:

● Driving on the right side of the road

● Cell phone chargers

● Distance of railway tracks

Power-Up 3: Linked Data

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Power-Up 3: Linked Data

<kindergarten>

<name>Seven Dwarfs</name>

<location>...</location>

<description>...</description>

</kindergarten>

<child_care name=„Seven Dwarfs“>

<address>

<street>...</street>

<zip>...</zip>

</address>

<text>...</text>

</child_care>

<daycare id=„Seven Dwarfs“

address=„...“>

. . .

</ daycare >

Syntactic heterogenity – different trees

Semantic heterogenity – different tags and attributes (e.g.

kindergarten, child_care, daycare)

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Power-Up 3: Linked Data

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Power-Up 3: Linked Data

Linked Data assists third party efforts via → standardization→ best practices

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Take home messages:

Linked Data assists third party efforts via → standardization→ best practices

Open Data is the enabler to share the cost of data integration

No open access→ no benefit for data consumers→ no mushroom

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Open Data Prague – 2013/10/10 – Page 24 http://lod2.eu

What is the current state of your local public data infrastructure?

Summary

How easy can you get high quality data?- Open Access of structured data- Open licenses- Standardized formats (e.g. Linked Data or RDF)

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Public data infrastructure

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Public data infrastructure

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Open Community – All feedback is welcome!

http://slideshare.net/kurzum

Websites:

http://lod2.eu

Thanks for your attention