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THE DIGITAL MUSEUM AS PLATFORM Museum Next 2013, Amsterdam Jacob R. Wang, National Museum of Denmark #museumnext // @jacob_wang

The digital museum as platform v2

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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/

Text of The digital museum as platform v2

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THE DIGITAL MUSEUM AS PLATFORMMuseum Next 2013, AmsterdamJacob R. Wang, National Museum of Denmark

#museumnext // @jacob_wang

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The National Museum of DenmarkEstablished 1807

550 employees | 1 million hours | 35 million Euro

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The National Museum of DenmarkEstablished 1807

10 million objects| 2 million images | 1 library

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MISSIONThe National Museum embody and develop the prerequisites for everyone to be able to gain insight into cultural history

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WHATS NEXT?

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So were about KNOWLEDGE creation and sharing.

And as you probably know, knowledge needs mediation to be valuable!

Books are still one the most used media for transmitting knowledge

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Zuse Z3 (1943)

1943

First programmable, fully automatic computer

This is the Zuse Z3, invented in Berlin in 1943 by Konrad Zuse.

This machine is on permanent display at the Deutches Museum in Munich.

http://en.wikipedia.org/wiki/Z3_(computer)

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Odense City Museums, 1998

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1950s - Invented and developed1990s - Commercially available2000s - Exponential growth all over

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Graphics from Smithsonian Learning Model >> CLICK ME

NEWsocial, communication, learning, creation, sharingMECHANICS

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WERE MOVINGFrom analogue to digitalFrom broadcast to interactionFrom product to platform

AND WE NEED STRATEGY TO DO THAT CLEVERLY

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 thats my poor translation.

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GOOD STRATEGY?I will predict the future, and use this to carefully plan our work in the years to come!

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Maybe this strategy is better?

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WHATS NEXT?Relevant trends and powerful tools

Further SoLoMo, Semantic Web, Artificial Intelligence Natural interfaces, Image recognition, Augmented Reality

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WHAT CAN WE DO NOW?Pick principles and tactics + do stuff

Open Access, Linked Open Data Digitisation, Infrastructure development, Metadata-productionDevOps, Validated Learning, Government 2.0

DevOps is a software development method that stresses communication, collaboration and integration between software developers and information technology (IT) professionals.DevOps is a response to the interdependence of software development and IT operations. It aims to help an organization rapidly produce software products and services.

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ARTIFICIAL INTELLIGENCE

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 thats my poor translation.

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1997: Kasparov vs Deep Blue

I may 1997 something cool happened.

World chess champion Garri Kasparov played against and was defeated by the computer named Deep Blue.

They played 7 games in all: Kasparov won the first, Deep Blue the next. Then followed 3 draw games and in the final round, Deep Blue won.

In may 1997 the human race lost the chess world championship to computers.

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Humans vs Watson (2011) Link

2011: Humans vs Watson

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WATSONWatson is an artificial intelligence computer system capableof 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

Watson is an artificial intelligence computer system capable of answering questionsposed in natural language () Watson had access to 200 million pages of structuredand unstructured content () including the full text of Wikipedia.

Encyclopedias, dictionaries, thesauri, newswire articles, literary works, databases, taxonomies, ontologies.

This is the stuff we have!

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http://www.youtube.com/watch?v=WFR3lOm_xhE

Watson in action:

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Ill just give you give a second to let this sink in....

Did you notice the complexicity of the questions?

Watson did good and Ive of course picked a clip where it totally owns the game.They humans did well too, but overall, Watson won the world championship in Jeopardy...

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CULTURAL HERITAGE WATSON?

Consumer (pocket) technology, Internet connected, Faster, Better, Smarter

Will we have content ready?Structured & Unstructured

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from MUSEUM PROTOCOLStoMUSEUM COLLECTION SYSTEM to MUSEUM COLLECTION & KNOWLEDGE SYSTEMtoMUSEUM AI

I wanna drive my museums work on the digital collection guided by this idea of a Museum AI

An intelligent system, that you can ask things, more complex things, that what we can today

Im confident the technologies and tools will enable that down the road, and look very much forward to the steps into this realm

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SEMANTIC WEB

Ok, so next up, Id 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.

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OK, so...Weve got a lot of our objects registeredWeve got the ~10 basic information about objects

We need more info about the objectsWe need CONTEXT infoWe need CONNECTIONS to other objects, people, places, times, concepts, ideas, phonomena

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Entities + relations

Externally + internally

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Semantic Web / Linked DataIs about doing what the web enable us to do:Converge our collectionsOvercome the limits of time and spaceGive easy and one stop, one serve accessBuild our ressources into ONE by connecting them(properly, through Linked Data technologies)

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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 youre 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...

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PLATFORM DREAMS

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We forget HISTORY! 02

Content

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This is the past 10-15 years worth of museum webprojects. This is websites for PCs.

They show their stuff through frontends and store ttheir content in closed databases.

Many of these sites have been developed as part of non-sustainable projects.

The funds dried out and we all know, that if a website is not under continual development, its dying.

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Content

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So here we are 10-15 years later.

All these blacked out websites are pretty much dead by now. We at Odense City Museums have around 15 of these sites!!

They look old, feels outdated and is far from todays standards on the web.

Whats alarming about this is, that all this content, 1000 of hours of work, are burried with the frontends? The content is dead too!

Why? Because frontend and data are tightly integrated with no way of setting the content free.

So what could be learnt from this? And what HAVE we learnt?

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Whats next to my museumDigitisation + metadataproductionFlexibility, Scalability, SustainabilitySemantic Web + Artificial Intelligence

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THANK YOU!

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