The document discusses a semantic database that helps users find nearby restaurants and theaters by managing location-based relationships. It mentions various applications, including tools for searching dining options near transit stops and presenting information about film festivals and sports teams. Additionally, it highlights a range of user-contributed data in diverse categories, with features such as geo search APIs.

1. Location, Location,...Semantics
Synaptic Developer Conference
Jamie Taylor

2. http://upload.wikimedia.org/wikipedia/commons/1/1c/Dagger.jpg

3. Chinese food, near Engelhart Hall, Northwestern

6. How to get there....
What's possible to get to....

7. The
Problem

8. "Let's go to a movie..."
Inevitably leads to:
"Where do you want to eat?"

9. 2. Where is
1. Pick Movie
it Playing

10. 3. What's Near 4. Is it Good?
the Theater Available?

11. Bad Choice
Try Again!
And
Again!
!

12. All the work done by the user!
!
In si de

13. The Missing Pattern...

14. Here
as good as here

15. You are here
Location
Pizza around here
Relationship

16. You are here
Location
Transit System
Relationship
You could be here
Location

17. You are here
Location
Transit System
Relationship
You could be here
Location
Pizza around here
Relationship
Colossal Deep Dish
Location

18. The
Problem

19. Now Playing
Relationship
Theater
Location
Restaurants around theater
Relationship
Colossal Deep Dish
Location
Price? Availability?
Relationship

21. Semantics = Relationships
http://www.flickr.com/photos/re-ality/2542833066/

22. A socially managed semantic database

26. 1500 types with 500+ instances!!
A range of of vocabularies....

27. Users contribute data

28. Neighborhoods

29. 900 Film Festivals
Film Festivals

30. 24k teams
Sports Teams

31. JSON APIs
MQL
[{
"area_served": [{
"name": null,
"/location/location/containedby": {
"id": "/en/united_states"
}
}],
"name": null,
"type": "/metropolitan_transit/transit_system"
}]
http://www.freebase.com/docs

32. JSON APIs
"result": [
{
"area_served": [
{
"/location/location/containedby": {
"id": "/en/united_states"
},
"name": "Arlington County"
},
{
"/location/location/containedby": {
"id": "/en/united_states"
},
"name": "Washington"
}
],
"name": "Washington Metro",
"type": "/metropolitan_transit/transit_system"
}.....

34. Geo Search API
http://www.freebase.com/docs/geosearch

35. Geo Search API
mql_input=[{"name": null, "type":"/metropolitan_transit/
transit_stop", "transit_lines":[ { "transit_system": [ { "name" :
"Chicago Transit Authority" }]}] }]&within=0.5&type=/dining/
restaurant&limit=3&order_by=relevance
{"features":[{"geometry":{"coordinates":
[-87.633218,41.894032],"id":"#9202a8c04000641f8000000003f3df1d","type":"Point"},"id":"#920
2a8c04000641f8000000003f3df1c","properties":{"/common/topic/image":[],"geo:relevance":
29,"guid":"#9202a8c04000641f8000000003f3df1c","id":"/m/01_7rsx","name":"Wildfire","near":
{"guid":"#9202a8c04000641f8000000000af70da","name":"Chicago and
Franklin","transit_lines":[{"transit_system":[{"name":"Chicago Transit Authority"}]},
{"transit_system":[{"name":"Chicago Transit Authority"}]}],"type":"/metropolitan_transit/
transit_stop"},"type":["/dining/restaurant","/common/topic","/business/
business_location","/business/employer"]},"type":"Feature"}......

36. 15k pieces of art
Artwork

37. 7k Museums
Museums

38. 88k structures
Architecture

39. 3500 skyscrapers
Skyscrapers

40. 1000 Amusement Rides
Rides

41. 450 Amusment Parks
Amusement Parks

42. http://www.flickr.com/photos/hjl/101443399/