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Bringing (Web) Databases to the Masses
Published on Jul 04, 20125692 Views
The World-Wide Web contains vast quantities of structured data on a variety of domains, such as hobbies, products and reference data. Moreover, the Web provides a platform that can encourage publishin
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Chapter list
Bringing (Web) Databases to the Masses00:00
Structured Data and the Web00:31
That’s Great, But…03:05
Outline04:38
A Semantic Web Perspective06:06
Required Background for Examples08:50
Fusion Tables10:09
Coffee Consumption Per Capita13:33
Rwanda 2010 Cup of Excellence Winners14:39
Coffee Consumption Per Capita - Table14:45
World Map15:25
Guardian Data Blog15:35
Guardian Reading the Riots17:08
N.Y. Region19:16
Google Crisis Response20:09
Iowa Caucuses21:05
Berliner Morgenpost23:56
Global earthquake activity24:10
Crowd Sourcing25:11
Public toilets in Australia26:01
The Data Cloud26:59
Realizing the Data Cloud29:55
Show Up in Search30:34
Searches that Really Matter31:00
Specialized Table Search31:31
Realizing the Data Cloud32:09
Two Layers on a Map32:14
Merge with Boundary Data32:16
Realizing the Data Cloud33:20
And the Credit Goes to…34:25
Main Points35:13
Tables on the Web37:27
The Deep Web38:02
HTML Lists38:36
Annual Competition Results38:57
The Needle in the Haystack40:39
Customer Reviews40:43
Vertical Tables41:15
Semantics Embedded in Surrounding Text41:51
City of Gig Harbor43:07
It’s Complicated43:40
Data is About Everything45:06
WebTables: Exploring the Relational Web46:14
Searching Tables is Tricky48:08
Recovering Table Semantics48:54
The “Knowledge Base”49:39
Recovering Binary Relationships52:47
Finding Related Tables53:36
A: Top 100 Tennis Players in 201053:47
B: Players Ranked 101-20053:53
C: Top 100 in 2010: ATP Ranking53:59
D: 2009 ATP Ranking54:10
A Framework for Relatedness54:30
Some Results54:41
www.google.com/fusiontables/search54:54
Conclusions55:14
Shameless Plug56:42
Shameless Plug (#1, again)57:03
A Few References57:13