Linked Data: The Story So Far (or, What Happens Next?) Tom Heath - - PowerPoint PPT Presentation

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Linked Data: The Story So Far (or, What Happens Next?) Tom Heath - - PowerPoint PPT Presentation

Jan 03, 2023 42 likes •602 views

shared innovation Linked Data: The Story So Far (or, What Happens Next?) Tom Heath Platform Division Talis Information Ltd tom.heath@talis.com http://tomheath.com/id/me shared innovation Context Bizer, Heath and Berners-Lee (to appear).

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shared innovation

Linked Data: The Story So Far (or, What Happens Next?)

Tom Heath

Platform Division Talis Information Ltd tom.heath@talis.com http://tomheath.com/id/me

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Context

  • Bizer, Heath and Berners-Lee (to appear). Linked

Data – The Story So Far. International Journal on Semantic Web and Information Systems (IJSWIS).

  • The Story So Far
  • What Happens Next?
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Part 1: The Story So Far

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The Story So Far

“Semantic Web, what Semantic Web?”

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The Story So Far

“Semantic Web, what Semantic Web?” Design Issues: Linked Data

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The Story So Far

“Semantic Web, what Semantic Web?” Design Issues: Linked Data Existing Open Data Sets

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shared innovation

The Story So Far

“Semantic Web, what Semantic Web?” Design Issues: Linked Data Existing Open Data Sets

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The Story So Far

“Semantic Web, what Semantic Web?” Design Issues: Linked Data Existing Open Data Sets

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A Cloud with a Silver Lining?

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A Cloud with a Silver Lining

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A Cloud with a Silver Lining

  • A great success indicator
  • 4.5 billion triples, millions of links between data sets!
  • It's so big we can't really count the triples anymore!
  • Barely fits on one slide!
  • A great marketing tool
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What's the Opposite of a Silver Lining?

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What's the Opposite of a Silver Lining?

→ “Ha ha ha, the whole Web of Data fits on a single slide!”

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What's the Opposite of a Silver Lining?

→ “Ha ha ha, the whole Web of Data fits on a single slide!” “But there are billions of triples in the LOD cloud!” ←

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What's the Opposite of a Silver Lining?

→ “Ha ha ha, the whole Web of Data fits on a single slide!” “But there are billions of triples in the LOD cloud!” ← → “Wow, how did you count them?”

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What's the Opposite of a Silver Lining?

→ “Ha ha ha, the whole Web of Data fits on a single slide!” “But there are billions of triples in the LOD cloud!” ← → “Wow, how did you count them?” “Er, we did some estimates...” ←

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What's the Opposite of a Silver Lining?

→ “Ha ha ha, the whole Web of Data fits on a single slide!” “But there are billions of triples in the LOD cloud!” ← → “Wow, how did you count them?” “Er, we did some estimates...” ← → “So you didn't actually count them all?”

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What's the Opposite of a Silver Lining?

→ “Ha ha ha, the whole Web of Data fits on a single slide!” “But there are billions of triples in the LOD cloud!” ← → “Wow, how did you count them?” “Er, we did some estimates...” ← → “So you didn't actually count them all?” “Er, no.” ←

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What's the Opposite of a Silver Lining?

→ “Ha ha ha, the whole Web of Data fits on a single slide!” “But there are billions of triples in the LOD cloud!” ← → “Wow, how did you count them?” “Er, we did some estimates...” ← → “So you didn't actually count them all?” “Er, no.” ← → “Why not?”

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What's the Opposite of a Silver Lining?

→ “Ha ha ha, the whole Web of Data fits on a single slide!” “But there are billions of triples in the LOD cloud!” ← → “Wow, how did you count them?” “Er, we did some estimates...” ← → “So you didn't actually count them all?” “Er, no.” ← → “Why not?” “Umm, we don't have the resources...” ←

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What's the Opposite of a Silver Lining?

→ “Ha ha ha, the whole Web of Data fits on a single slide!” “But there are billions of triples in the LOD cloud!” ← → “Wow, how did you count them?” “Er, we did some estimates...” ← → “So you didn't actually count them all?” “Er, no.” ← → “Why not?” “Umm, we don't have the resources...” ← → “Oh...”

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Counter-arguments

  • We don't want to count the number of triples anyway!
  • Who bothers to count the number of pages on the

Web anymore, now the pissing matches are over?

  • We can't meaningfully fit all the blobs on one slide

anymore, anyway!

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After the Cloud has Dissipated...

  • Can we function without it?
  • How do we market Linked Data without eye candy?
  • Can the Web of Data evolve beyond just growth?
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Part 2: What Happens Next?

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The 'Open' in 'Linking Open Data'

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The 'Open' in 'Linking Open Data'

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The 'Open' in 'Linking Open Data'

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The 'Open' in 'Linking Open Data'

  • Linked Data is a style of publishing data on the Web
  • Linking Open Data is a project
  • Open Data is complementary but orthogonal to

Linked Data

  • Let's not put openness on the critical path to Linked

Data adoption

  • Let's get our house in order re licensing:

– Facts are not creative works – Data needs a separate licensing framework (Creative Commons often does not apply)

  • Places to start:

– http://www.opendatacommons.org/guide/ – ISWC2009 Tutorial on Data Licensing

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The 'Links' in 'Linked Data'

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The 'Links' in 'Linked Data'

  • Relax (for now) about the owl:sameAs problem
  • It's only a problem when users tell us it's a problem
  • Data quality is the overarching issue
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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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The 'Links' in 'Linked Data'

Depictions of dbpedia:Atonement_(film)

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Fundamental Requirements for Linked Data

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Fundamental Requirements for uptake of Linked Data

  • Quality data
  • Availability and stability of data sets
  • Publishing at source
  • Clarity re. licensing (i.e. terms of reuse)
  • Applications!
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The 'Killer App' Question

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The Killer App Question

  • Question: “What will be the Linked Data killer app?”
  • Answer: If I knew, I wouldn't tell you.
  • Answer: There may not be one. Get over it.
  • Answer: Killer apps are just post-hoc rationalisations

– What is the killer app of electricity? Lighting? TV? Who cares?

  • No more obsessing or speculation allowed,

principled analysis only!

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Where do we Focus our Efforts?

  • Sustaining innovation
  • Disruptive innovation

– Low-end disruption – New-market disruption (Christensen and Raynor, The Innovator's Solution, 2003)

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Where do we Focus our Efforts?

  • “A sustaining innovation targets demanding, high-

end customers with better performance than what was previously available.”

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Where do we Focus our Efforts?

  • “A sustaining innovation targets demanding, high-

end customers with better performance than what was previously available.”

  • “If your idea for a product or business appears

disruptive to some established companies but might represent a sustaining improvement for others, then you should go back to the drawing board.”

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Where do we Focus our Efforts?

  • “A sustaining innovation targets demanding, high-

end customers with better performance than what was previously available.”

  • “If your idea for a product or business appears

disruptive to some established companies but might represent a sustaining improvement for others, then you should go back to the drawing board.”

  • Risky business ideas?

– A new search engine that exploits structured data – A reviewing and rating site that publishes data in RDF – A new CMS with Linked Data support

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Where do we Focus our Efforts?

  • Low-End Disruption

– “Address overserved customers with a lower-cost business model” – “Are there customers at the low end of the market who would be happy to purchase a product with less (but good enough) performance if they could get it at a lower price?” – “Can we create a business model that enables us to earn attractive profits at the discount prices required to win the business of these overserved customers at the low end?” – What can we do less well with Linked Data, but at significantly less cost than with existing approaches?

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Where do we Focus our Efforts?

  • New-Market Disruption

– “Compete against non-consumption” – “New-market disruptive products are so much more affordable to own and simpler to use that they enable a whole new population of people to begin owning and using the product, and to do so in a more convenient setting.” – What can we enable with Linked Data that a large number of people aren't doing right now because it's too hard, expensive or inconvenient?

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Conclusions

  • Linked Data: by all accounts a great success
  • The success criteria are changing
  • Time to change up

– Quality – Stability – Clarity – Applications

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Questions?

Slides

– http://tomheath.com/slides/2009-09-london-linked-data-the- story-so-far.pdf

Acknowledgements

– Ian Davis and Justin Leavesley