1. The document discusses whether Google will remain synonymous with search and find as new search paradigms emerge on the web, with some experts arguing search is becoming more specialized and contextual. 2. It notes people increasingly expect answer machines or decision machines rather than just search engines, and references predictions that there will be over 140,000 specialized apps to fulfill different search tasks. 3. The future of search is uncertain as it has become a multi-billion dollar industry, and technologies like the semantic web may allow search engines and the internet to better understand the meaning of information.

1. Will Googl i f i c a t i o n of our lives continue? or will new search&find paradigms emerge on the web? Eric Sieverts Media, Informatie & Communicatie (Hogeschool van Amsterdam) ZV26 maart 2011

4. everybody wants to know what the future of search is, because it has become a multi-billion $ / € industry

5. what Google CEO expects

6. Is Google trying to infiltrate your brain?

7. what others report or feel about Google these days

10. I need no textual information I need to locate people knowledgeable about my interest (people that I trust)

11. I don't want to formulate a question or a query the system should just know what I need, here & now

12. I need no textual information I need an answer on my question; I must decide now

15. http://is.gd/9E3brw

16. "Once I was a scuba diver in the sea of words. Now I zip along the surface like a guy on a Jet Ski".

22. Clay Shirky: "no information overload, but filter failure"

23. computers will get smarter all the time

24. the internet will get smarter as well or rather: the information on the internet will get smarter on the "semantic web" the meaning of information will increasingly be known (for computers)

27. Tim Berners Lee: 1989: "invented" the World Wide Web 2004: proposed the "semantic web" 2006: designed "linked data" as a step towards realisation of the semantic web

29. the "linked open data cloud" - september 2010 - 24 billion data online by standardisation of dataformats and metadata, computers can "understand" the meaning of these data & use them

30. dbpedia: data from Wikipedia last.fm: artists geonames: 6.2 M toponyms BBC: wildlife finder Flickr project Gutenberg IMDB music brainz rechtspraak.nl Reuters: openCalais

31. example: article from NYTimes analysed by Open Calais >>

32. recognised entities get RDF-coded in HTML

33. I don't want to read all this textual information I just want it quickly visualised, what it all means (is Nicholas Carr still right after all ?) oscar-tweets