This document discusses the development of linked open data projects that aim to semantically connect information from various sources on the web. It describes how initial projects used Creative Commons licensed photos and linked them to DBpedia concepts, forming the basis of the Linked Data cloud. Later projects found ways to automate linking images to topics by using services like Amazon Mechanical Turk. The document also discusses business models for linked data and efforts to semantically connect information about different types of real-world entities and explore the global "noosphere" of human knowledge.

1. How it all startedPhoto Credit: Daniel Sparing The slides to this talk are licensed CC-BY-SA/3.0

2. Flickr kills the dream…

3. But Creative Commons Saves the Day

4. animalphotos.info

5. dbpedia & the semantic webSubjectPredicate (Verb)Object<dbpedia:Albatross> <rdf:type> <dbpedia-owl:Bird> .http://dbpedia.org/ontology/Birdhttp://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://dbpedia.org/resource/Albatross

6. the linked data cloud“Linking Open Data cloud diagram, by Richard Cyganiak and AnjaJentzsch. http://lod-cloud.net/”

7. automating the processsearch for candidatesIdentify topicsfilter correct imagesdescribe imagesdbpediaflickr

8. amazon mechanical turk

9. carpictures.cc

10. the business model

11. how many things exist?The game of 20 questions  220 = about a million…

12. what sort of things exist?“Everything on Earth:” Places, People, Creative Works, Life Forms, Technological Artifacts

13. ny-pictures.com

14. exploring the earth’s noösphereNoösphere, according to the thought of Vladimir Vernadsky and Teilhard de Chardin, denotes the "sphere of human thought".

15. ookaboo.com takes off

16. ookaboo semantic API http://en.wikipedia.org/wiki/ThailandAPIThanks: Andyindia, Echiner1, Rene Eherhardt

17. Why don’t computers understand human language?The Ink is In The PenThe Pig is In The PenThanks: Seaniz, GiangHồThịHoàng, Claudia Scholz and

18. the human memome projectOne ring to bind them all?

19. Top-down? Bottom-up? Both!Merge data from a wide range of sources, continuously test against reality by performance in practical applications

20. Ontology2: Long Term Evolution