1. Miel Vander Sande
[@Miel_vds]
TERMINATOR’S ORIGINS
or how the semantic web could
endanger humanity

2. Working on the Semantic Web ‘s bright future

3. is also working on
the Semantic Web‘s dark side

4. Misuse by Humans
Misuse by Machines

5. Misuse by Humans

6. Content Content
Content
Content
A A
Ageneration
Automatic rule based content
A Intelligent and generic agents
Content High quality Linked Data
A big chunk is social data
A Ginormous Linked Open Data cloud

7. Force false knowledge extraction
Manipulate semantic driven tasks
{
?x ex:Article ?y.
?y ex:subject dbpedia:Barack_Obama. If type == ex:FrontPage
}
=>
#create html to present article
{ ?x ex:category ex:FrontPage }.
{
?x a ex:Article .
=>
{ ?x rdfs:comment “<script> … open websocket … </script>” }.

8. ”One of the defining characteristics of a
successful information system is its level
of exploitation by spammers.”
- Ian Davis

9. Fully context aware, easily produced and
reproduced
<http://.../John> a foaf:Person;
foaf:firstname “John”;
foaf:knows <http://.../Marc> . Hey John,
<http://.../Marc> a foaf:Person ; Marc here. I saw you
ex:attends <http://.../ISWC> . attend ISWC soon.
Want to join me for
<http://.../ISWC> a swpo:Conference ;
the concert of The
swpo:hasLocation <http://.../Boston> .
Who: http://spam.url
<http://.../Concert_TheWho> a music:Concert ;
music:venue <http://.../TD Garden> .

10. Provenance manipulation fools proof and trust
Data Proof & Trust WebID
needs needs based on
Provenance
https://test.net/#mvs a prov:Person, prov:Agent;
:post a prov:Entity, sioc:Post;
sioc:title “Buy Mentos, the freshmaker"^^xsd:string;
prov:wasAttributedTo <https://test.net/#mvs>;
prov:generatedAtTime "2011-07-16T01:52:02Z"^^xsd:dateTime .

11. Malicious links trick automated processes
Image Worm
Photogallery
owl:sameAs owl:sameAs
owl:sameAs
A
Image Image

12. Misuse by Machines

13. ”Machine intelligence is Acceptance of
not human intelligence.” machine intelligence
- Chris Welty
Fully deployed web of
things

14. Judgement day?
Today: drones, Stuxnet
How much trust will we put in machines and the
Semantic Web?

15. We need to
proactively brainstorm about misuse
investigate fail-safe approaches
discuss "acceptable machine behaviour" before it's too late?
Discuss!
Miel Vander Sande [@Miel_vds]

16. Attributions
• Photo title slide by Ujang Uung
• Photo slide #1 by Cayusa
• Photo slide #2 by morteza bahmani
• Photo slide #3 by Hugh Hart & ed6505
• Photos slide #4 by Moyo Ogunjale & Dark Lord
• Photo slide #6 by Huafeng Xie
• Photo slide #14 by Universal Studios