ABOUT THE SPEAKER
Tim Berners-Lee - Inventor
Tim Berners-Lee invented the World Wide Web. He leads the World Wide Web Consortium (W3C), overseeing the Web's standards and development.

Why you should listen

In the 1980s, scientists at CERN were asking themselves how massive, complex, collaborative projects -- like the fledgling LHC -- could be orchestrated and tracked. Tim Berners-Lee, then a contractor, answered by inventing the World Wide Web. This global system of hypertext documents, linked through the Internet, brought about a massive cultural shift ushered in by the new tech and content it made possible: AOL, eBay, Wikipedia, TED.com...

Berners-Lee is now director of the World Wide Web Consortium (W3C), which maintains standards for the Web and continues to refine its design. Recently he has envisioned a "Semantic Web" -- an evolved version of the same system that recognizes the meaning of the information it carries. He's the 3Com Founders Professor of Engineering in the School of Engineering with a joint appointment in the Department of Electrical Engineering and Computer Science at the Laboratory for Computer Science and Artificial Intelligence (CSAIL) at the MIT, where he also heads the Decentralized Information Group (DIG). He is also a Professor in the Electronics and Computer Science Department at the University of Southampton, UK.

More profile about the speaker
Tim Berners-Lee | Speaker | TED.com
TED2010

Tim Berners-Lee: The year open data went worldwide

Filmed:
771,473 views

At TED2009, Tim Berners-Lee called for "raw data now" -- for governments, scientists and institutions to make their data openly available on the web. At TED University in 2010, he shows a few of the interesting results when the data gets linked up.
- Inventor
Tim Berners-Lee invented the World Wide Web. He leads the World Wide Web Consortium (W3C), overseeing the Web's standards and development. Full bio

Double-click the English transcript below to play the video.

00:15
Last year here at TED
0
0
2000
00:17
I asked you to give me your data,
1
2000
2000
00:19
to put your data on the web, on the basis
2
4000
2000
00:21
that if people put data onto the web --
3
6000
3000
00:24
government data, scientific data, community data,
4
9000
3000
00:27
whatever it is -- it will be used by other people
5
12000
2000
00:29
to do wonderful things, in ways
6
14000
2000
00:31
that they never could have imagined.
7
16000
2000
00:33
So, today I'm back just to show you a few things,
8
18000
3000
00:36
to show you, in fact, there is
9
21000
2000
00:38
an open data movement afoot,
10
23000
5000
00:43
now, around the world.
11
28000
2000
00:45
The cry of "Raw data now!"
12
30000
2000
00:47
which I made people make in the auditorium,
13
32000
2000
00:49
was heard around the world.
14
34000
2000
00:51
So, let's roll the video.
15
36000
3000
00:54
A classic story, the first one which lots of people picked up,
16
39000
3000
00:57
was when in March -- on March 10th in fact, soon after TED --
17
42000
3000
01:00
Paul Clarke, in the U.K. government,
18
45000
3000
01:03
blogged, "Oh, I've just got some raw data. Here it is,
19
48000
2000
01:05
it's about bicycle accidents."
20
50000
3000
01:08
Two days it took the Times Online
21
53000
3000
01:11
to make a map, a mashable map --
22
56000
2000
01:13
we call these things mash-ups --
23
58000
2000
01:15
a mashed-up user interface that allows you to go in there
24
60000
2000
01:17
and have a look and find out whether your bicycle
25
62000
2000
01:19
route to work was affected.
26
64000
2000
01:21
Here's more data, traffic survey data,
27
66000
2000
01:23
again, put out by the U.K. government,
28
68000
2000
01:25
and because they put it up using the Linked Data standards,
29
70000
3000
01:28
then a user could just make a map,
30
73000
2000
01:30
just by clicking.
31
75000
2000
01:32
Does this data affect things? Well, let's get back to 2008.
32
77000
2000
01:34
Look at Zanesville, Ohio.
33
79000
3000
01:37
Here's a map a lawyer made. He put on it the water plant,
34
82000
3000
01:40
and which houses are there,
35
85000
2000
01:42
which houses have been connected to the water.
36
87000
2000
01:44
And he got, from other data sources,
37
89000
2000
01:46
information to show
38
91000
3000
01:49
which houses are occupied by white people.
39
94000
2000
01:51
Well, there was too much of a correlation, he felt,
40
96000
3000
01:54
between which houses were occupied by white people
41
99000
3000
01:57
and which houses had water, and the judge was not impressed either.
42
102000
3000
02:00
The judge was not impressed to the tune of 10.9 million dollars.
43
105000
3000
02:03
That's the power of taking one piece of data,
44
108000
2000
02:05
another piece of data, putting it together,
45
110000
3000
02:08
and showing the result.
46
113000
2000
02:10
Let's look at some data from the U.K. now.
47
115000
2000
02:12
This is U.K. government data, a completely independent site,
48
117000
2000
02:14
Where Does My Money Go.
49
119000
2000
02:16
It allows anybody to go there and burrow down.
50
121000
2000
02:18
You can burrow down by a particular type of spending,
51
123000
2000
02:20
or you can go through all the different regions and compare them.
52
125000
4000
02:24
So, that's happening in the U.K. with U.K. government data.
53
129000
3000
02:27
Yes, certainly you can do it over here.
54
132000
2000
02:29
Here's a site which allows you to look at recovery spending
55
134000
3000
02:32
in California.
56
137000
2000
02:34
Take an arbitrary example, Long Beach, California,
57
139000
2000
02:36
you can go and have a look at what recovery money they've been spending
58
141000
3000
02:39
on different things such as energy.
59
144000
3000
02:42
In fact, this is the graph of the number of data sets
60
147000
3000
02:45
in the repositories of data.gov,
61
150000
2000
02:47
and data.gov.uk.
62
152000
2000
02:49
And I'm delighted to see a great competition
63
154000
2000
02:51
between the U.K. in blue, and the U.S. in red.
64
156000
2000
02:53
How can you use this stuff?
65
158000
2000
02:55
Well, for example, if you have lots of data about places
66
160000
3000
02:58
you can take, from a postcode --
67
163000
2000
03:00
which is like a zip plus four --
68
165000
2000
03:02
for a specific group of houses, you can make paper,
69
167000
3000
03:05
print off a paper which has got very, very
70
170000
2000
03:07
specific things about the bus stops,
71
172000
2000
03:09
the things specifically near you.
72
174000
2000
03:11
On a larger scale, this is a mash-up
73
176000
3000
03:14
of the data which was released about the Afghan elections.
74
179000
3000
03:17
It allows you to set your own criteria
75
182000
2000
03:19
for what sort of things you want to look at.
76
184000
2000
03:21
The red circles are polling stations,
77
186000
2000
03:23
selected by your criteria.
78
188000
2000
03:25
And then you can select also other things on the map
79
190000
2000
03:27
to see what other factors, like the threat level.
80
192000
2000
03:29
So, that was government data.
81
194000
3000
03:32
I also talked about community-generated data -- in fact I edited some.
82
197000
2000
03:34
This is the wiki map, this is the Open Street Map.
83
199000
2000
03:36
"Terrace Theater" I actually put
84
201000
2000
03:38
on the map because it wasn't on the map before TED last year.
85
203000
3000
03:41
I was not the only person editing the open street map.
86
206000
3000
03:44
Each flash on this visualization --
87
209000
2000
03:46
put together by ITO World --
88
211000
2000
03:48
shows an edit in 2009
89
213000
2000
03:50
made to the Open Street Map.
90
215000
2000
03:52
Let's now spin the world during the same year.
91
217000
3000
03:55
Every flash is an edit. Somebody somewhere
92
220000
2000
03:57
looking at the Open Street Map, and realizing it could be better.
93
222000
3000
04:00
You can see Europe is ablaze with updates.
94
225000
3000
04:03
Some places, perhaps not as much as they should be.
95
228000
3000
04:06
Here focusing in on Haiti.
96
231000
2000
04:08
The map of Port au-Prince at the end
97
233000
2000
04:10
of 2009 was not all it could be,
98
235000
2000
04:12
not as good as the map of California.
99
237000
2000
04:14
Fortunately, just after the earthquake,
100
239000
3000
04:17
GeoEye, a commercial company,
101
242000
2000
04:19
released satellite imagery
102
244000
2000
04:21
with a license, which allowed
103
246000
2000
04:23
the open-source community to use it.
104
248000
2000
04:25
This is January, in time lapse,
105
250000
2000
04:27
of people editing ... that's the earthquake.
106
252000
2000
04:29
After the earthquake, immediately,
107
254000
2000
04:31
people all over the world, mappers
108
256000
2000
04:33
who wanted to help, and could,
109
258000
2000
04:35
looked at that imagery, built the map, quickly building it up.
110
260000
3000
04:38
We're focusing now on Port-au-Prince.
111
263000
1000
04:39
The light blue is refugee camps these volunteers had spotted from the [satellite images].
112
264000
4000
04:43
So, now we have, immediately, a real-time map
113
268000
2000
04:45
showing where there are refugee camps --
114
270000
2000
04:47
rapidly became the best map
115
272000
2000
04:49
to use if you're doing relief work in Port-au-Prince.
116
274000
3000
04:52
Witness the fact that it's here on this Garmin device
117
277000
2000
04:54
being used by rescue team in Haiti.
118
279000
2000
04:56
There's the map showing,
119
281000
3000
04:59
on the left-hand side,
120
284000
2000
05:01
that hospital -- actually that's a hospital ship.
121
286000
2000
05:03
This is a real-time map that shows blocked roads,
122
288000
3000
05:06
damaged buildings, refugee camps --
123
291000
2000
05:08
it shows things that are needed [for rescue and relief work].
124
293000
2000
05:10
So, if you've been involved in that at all,
125
295000
2000
05:12
I just wanted to say: Whatever you've been doing,
126
297000
2000
05:14
whether you've just been chanting, "Raw data now!"
127
299000
2000
05:16
or you've been putting government or scientific data online,
128
301000
3000
05:19
I just wanted to take this opportunity to say: Thank you very much,
129
304000
2000
05:21
and we have only just started!
130
306000
3000
05:24
(Applause)
131
309000
2000

▲Back to top

ABOUT THE SPEAKER
Tim Berners-Lee - Inventor
Tim Berners-Lee invented the World Wide Web. He leads the World Wide Web Consortium (W3C), overseeing the Web's standards and development.

Why you should listen

In the 1980s, scientists at CERN were asking themselves how massive, complex, collaborative projects -- like the fledgling LHC -- could be orchestrated and tracked. Tim Berners-Lee, then a contractor, answered by inventing the World Wide Web. This global system of hypertext documents, linked through the Internet, brought about a massive cultural shift ushered in by the new tech and content it made possible: AOL, eBay, Wikipedia, TED.com...

Berners-Lee is now director of the World Wide Web Consortium (W3C), which maintains standards for the Web and continues to refine its design. Recently he has envisioned a "Semantic Web" -- an evolved version of the same system that recognizes the meaning of the information it carries. He's the 3Com Founders Professor of Engineering in the School of Engineering with a joint appointment in the Department of Electrical Engineering and Computer Science at the Laboratory for Computer Science and Artificial Intelligence (CSAIL) at the MIT, where he also heads the Decentralized Information Group (DIG). He is also a Professor in the Electronics and Computer Science Department at the University of Southampton, UK.

More profile about the speaker
Tim Berners-Lee | Speaker | TED.com

Data provided by TED.

This site was created in May 2015 and the last update was on January 12, 2020. It will no longer be updated.

We are currently creating a new site called "eng.lish.video" and would be grateful if you could access it.

If you have any questions or suggestions, please feel free to write comments in your language on the contact form.

Privacy Policy

Developer's Blog

Buy Me A Coffee