1. Monetizing the Semantic Web
Denny Vrandečić, Elena Simperl, Rudi Studer
STI Summit, Riga, Latvia
Institut AIFB – Angewandte Informatik und Formale Beschreibungsverfahren
KIT – University of the State of Baden-Württemberg and
National Large-scale Research Center of the Helmholtz Association www.kit.edu

2. Classic monetizing for technology
! Product
! Consulting
! Apps for money or with ads
! Training
! Books
! Save tons of money by using better technology
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3. Different roles, different monetizing
! End user
! App developer
! Data publisher
! Technology provider
! Research and standard development
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4. Every bubble costs… someone
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5. Unique Semantic Web monetizing
! Metadata publication as collateral
! Accountability and transparency
! Freemium data
! Dump for free, rest for money
! Data curation and aggregation
! (not a complete list)
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6. Metadata publication as collateral
! Companies selling services or products may want to offer
data for 3rd party websites
! In control of the data content
! Data is available anyway, can be turned into asset for others
! Increases value and presence of primary product
! Metadata as a collateral for search engine optimization
! GoodRelations data seems to have improved rank
! Snippets and filters can be built on metadata (e.g. Google recipe
search)
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7. Accountability and transparency
! Consumers crave for more information and better
consciousness
! e.g. fair-trade coffee and chocolate
! Providing such information on a small package is infeasible
! Instead, provide metadata about the products accessible
through mobile device
! Where was it produced?
! Allergies and nutritional values
! Certificates for bio / fair trade / no child labor …
! Mobile device can check compliance to user demands
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8. Freemium data
! Provide entities (secure URI ownership) with minimal
useful data
! Establish yourself as authority
! Richer data for additional money
! IMdb provide contact data and full financial breakdowns
! Geonames provides full quality check data as premium data
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9. Dump for free, rest for money
! Dumps and simple access as Linked Data are cheap
! GoodRelations seems to be unusually expensive vocabulary
! Access via SPARQL can be very expensive
! Powerful filter and aggregation mechanism
! Especially in SPARQL 1.1
! Provide more power, later time outs for money
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10. Curation and aggregation
! Using Semantic Web data means
! Selecting,
! Crawling,
! Cleaning,
! Mapping,
! Integrating,
! Storing,
! Inferencing over, and
! Querying the data.
! This is hard and expensive – and can be outsourced
! Data enriching as added value, e.g. legal publishers
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11. Monetization and incentives
! Today much of the data and links are made for free
! Bringing money into the game may change things
! Performance of individuals and groups may be affected
! Voluntary work may be stifled
! How will a ecosystem look like that allows and promotes
both?
! Wikipedia killed encyclopedias
! Android killed mobile Linux development
! Open source coexists with commercial software
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12. Discussion
! Metadata publication as collateral
! Accountability and transparency
! Freemium data
! Dump for free, rest for money
! Data curation and aggregation
! (not a complete list)
! Others?
! Maybe write a white paper?
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13. Every bubble costs… someone
$
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