Talk given at MuseumNext 2013 in Amsterdam.
In this talk I focus on artificial intelligence and semantic technologies as key trends and distruptive tools and try to tie these to the importance of a robust and flexible digital museum platform.
http://www.museumnext.org/schedule/
10. Graphics from Smithsonian Learning Model >> CLICK ME
NEW
social, communication, learning, creation, sharing
MECHANICS
11. WE’RE MOVING
From analogue to digital
From broadcast to interaction
From product to platform
AND WE NEED STRATEGY TO DO THAT
12. GOOD STRATEGY?
”I will predict the future, and use this to carefully plan our work in
the years to come!”
13.
14. WHAT’S NEXT?
Relevant trends and powerful tools
Further SoLoMo, Semantic Web, Artificial Intelligence
Natural interfaces, Image recognition, Augmented Reality
15. WHAT CAN WE DO NOW?
Pick principles and tactics + do stuff
Open Access, Linked Open Data
Digitisation, Infrastructure development, Metadata-production
DevOps, Validated Learning, Government 2.0
20. WATSON
Watson is an artificial intelligence computer system capable
of answering questions posed in natural language (…)
Watson has access to 200 million pages of structured and
unstructured content(*) (…) including the full text of Wikipedia.
Wikipedia
(*) 4 TBs of
encyclopedias, dictionaries, thesauri, newswire
articles, literary
works, databases, taxonomies, ontologies
25. CULTURAL HERITAGE WATSON?
Consumer (pocket) technology, Internet connected, Faster, Better, Smarter
Will we have content ready?
Structured & Unstructured
31. OK, so...
We’ve got a lot of our objects registered
We’ve got the ~10 basic information about objects
We need more info about the objects
We need CONTEXT info
We need CONNECTIONS
to other objects, people, places, times,
concepts, ideas, phonomena
32.
33. Semantic Web / Linked Data
Is about doing what the web enable us to do:
Converge our collections
Overcome the limits of time and space
Give easy and one stop, one serve access
Build our ressources into ONE by connecting them
(properly, through Linked Data technologies)
And all our efforts are guide by this statement:Our mission: to embody and develop the prerequisites for everyone to be able to gain insight into cultural heritage.It might seem a little clunky, but that’s my poor translation.
And all our efforts are guide by this statement:Our mission: to embody and develop the prerequisites for everyone to be able to gain insight into cultural heritage.It might seem a little clunky, but that’s my poor translation.
Ok, so next up, I’d like to talk about another profound trend, that will have a deep and big impact on the way we work with and around our digital collections:Semantic Web.
Entities + relationsExternally + internally
Googles Knowledge Graph is about building a representative model of the world, so that people, places, events, things and concepts are connected in accordance to the way their are connected in the real world.The Knowledge Graph will help Google serving better search results, by understanding what you’re searching for – the real thing – instead of just the string of characters you supply in your search. This transformation of the way Google works will have a massive impact on GLAMs and our ability to serve valuable information and knowledge to our users and audiences...