Ruben Verborgh, Ghent University – imec
Artificial Intelligence Platform (PFIA), 2 July 2019
Ruben Verborgh
Ghent University – imec
To computers,
the hard is easy
and the easy is hard.paraphrased from Moravec’s Paradox
Mom needs to see a specialist
and then has to have a series
of physical therapy sessions.
Biweekly or something.
I’m going to have my agent
set up the appointments.
The Semantic Web, 2001
The Semantic Web has suffered
from a chicken-and-egg problem.
No apps, because no data.
No data, because no apps.
AI needs data.
The more the better.
Data is in hands of the happy few.
Getting more data is hard.
The future does not consist of
a small number of huge data sets.
Instead, I believe we will see
a huge number of small data sets.
Anyone can say anything about anything.
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Facebook works better with the native app.
Solid aims to restore choice.
The Solid ecosystem enables people
to pick the apps they need,
while
storing their data wherever they want.
People control their data,
and share it
with the apps and people they choose.
The Web is a good platform
Frank van Harmelen
for data publication,
but a pretty bad platform
for data consumption.
{
"@context": "https://www.w3.org/ns/activitystreams",
"id": "#ruben-likes-pfia2019",
"type": "Like",
"actor": "https://ruben.verborgh.org/profile/#me",
"object": "https://www.irit.fr/pfia2019/#this",
"published": "2019-06-02T12:00:00Z"
}
{
"@context": "https://www.w3.org/ns/activitystreams",
"id": "#ruben-likes-ldac2019",
"type": "Like",
"actor": "https://ruben.verborgh.org/profile/#me",
"object": "https://www.irit.fr/pfia2019/#this",
"published": "2019-06-02T12:00:00Z"
}
{
"@context": "https://www.w3.org/ns/activitystreams",
"@graph": [{
"type": "Like",
"actor": "https://ruben.verborgh.org/profile/#me",
"object": "https://www.irit.fr/pfia2019/#this",
"published": "2019-06-02T12:00:00Z"
},{
"type": "Like",
"actor": "https://example.org/people/marie#me",
"object": "https://www.irit.fr/pfia2019/#this",
"published": "2019-06-02T12:05:00Z"
}]
}
The future is not huge
.
It is small
.
We are prepared to tackle huge
,
but not a lot of small
.
Can we build artificial intelligence
that works on a lot of small data?
Can we build the intelligence
for agents to sustain a network?