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DIVE+ @PATCH2015 Workshop @IUI2015

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Open, Connected & Smart Heritage: Towards New Cultural Commons http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo
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Open, Connected & Smart Heritage: Towards New Cultural Commons

http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo

massive  amount  of  digital  content  to  explore  …  

http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo

at  some  point  it  all  looks  the  same  …  

http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo

audiences  feel  disconnected  &  lost  …  

http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo

SMART  

We  need  more  of  this  

Johan  Oomen,  Lora  Aroyo  (2011).  Crowdsourcing  in  the  Cultural  Heritage  Domain:  OpportuniCes  and  Challenges,  hDp://www.iisi.de/fileadmin/IISI/upload/2011/p138_oomen.pdf    

CONNECTED   OPEN  

Digital  Humani;es  perform  interpreta(on  of  texts  and  other  media  

interpretaCons  deal  with  perspecCves    

http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo

             we  need  ….                support  of  mul6ple  perspec6ves  

http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo

CrowdTruth.org  

Machine-­‐Human  Computa;on  for  Harnessing  Perspec;ves  in  Seman;c  Interpreta;on  

Oana  Inel,  Khalid  Khamkham,  Ta6ana  Cristea,  Anca  Dumitrache,  Arne  Rutjes  ,  Jelle  v.d  Ploeg  ,  Lukasz  Romaszko,  Lora  Aroyo,  Robert-­‐Jan  Sips  

HUMAN DISAGREEMENT IS ESSENTIAL IN HELPING MACHINES WITH SEMANTIC INTERPRETATION!

Lora  Aroyo,  Chris  Welty:  Truth  is  a  Lie:  7  Myths  about  Human  Annota6on,  AI  Magazine  2015.  (In  press)  

•  Machine Pre-processing:  op6mizing  crowdsourcing  

•  Micro-task Templates:          reuse  &  op6miza6on  

•  CrowdTruth Analytics:  disagreement-­‐based  metrics  

CrowdTruth  SoFware  Components:  Machines  &  Crowds  Workflow  

Ø Novel  approach  to  ground  truth  data  collec6on  &  evalua6on  Ø  PROV  for  tracking  versions  of  data  Ø  Reusability  in  variety  of  annota;on  tasks  &  domains  with  text,  

image,  video  (thinking  about  sound)  

Oana  Inel,  Khalid  Khamkham,  Ta6ana  Cristea,  Arne  Rutjes,  Jelle  van  der  Ploeg,  Lora  Aroyo,  Robert-­‐Jan  Sips,  Anca  Dumitrache  and  Lukasz  Romaszko:  Crowd  Truth:  Machine-­‐Human  Computa6on  Framework  for  Harnessing  Disagreement  in  Gathering  Annotated  Data.  ISWC-­‐RBDS  

2014.  

CrowdTruth  SoFware:  Crowdsourcing  Analy;cs  

Lora  Aroyo,  Chris  Welty:  The  Three  Sides  of  CrowdTruth.  J.  Human  Computa6on.  1(1).  2014.  

•  Open  source:  h]ps://github.com/CrowdTruth    •  Web  service:  h]p://stable.crowdtruth.org      

CrowdTruth  SoFware:  Crowdsourcing  Analy;cs  

dive.beeldengeluid.nl  

In  Digital  Hermeneu;cs  

Use  Case:    Event-­‐centric  Explora6on    

Sound  &  Vision  and  Royal  Library  

dive.beeldengeluid.nl  

3rd  Price  at  the  Seman6c  Web  Challenge  2014  

OPENIMAGES.EU  •  3000  videos    •  NL  Ins6tute  for  Sound  &  Vision  •  mostly  news  broadcasts  

DELPHER.NL  •  1.5  Million  Scans  of  •  Radio  bulle6ns    •  (hand  annotated)  •  1937  –  1984                                                                    

ENTITY EXTRACTION

CROWDTRUTH.ORG    

ENTITY EXTRACTION

EVENTS CROWDSOURCING AND LINKING TO CONCEPTS THROUGH CROWDTRUTH.ORG

SEGMENTATION & KEYFRAMES

LINKING EVENTS AND CONCEPTS TO KEYFRAMES

SIMPLE  EVENT  MODEL  (SEM),  OPENANNOTATION  (OA)  AND  SKOS  

DIVE:MEDIA OBJECT  

SEM:EVENT  

SEM:PLACE  

SEM:TIME  

SEM:ACTOR  

SKOS:CONCEPT  

OA:ANNOTATION  

LINKS  TO  EUROPEANA  (MULTILINGUAL)  LINKS  TO  DBPEDIA    

Erp,  M.  van;  Oomen,  J.;  Segers,  R.;  Akker,  C.  van  de;  Aroyo,  L.;  Jacobs,  G.;  Legêne,  S;  Meij,  L.  van  der;O  ssenbruggen,  J.R.  van;  Schreiber,  G.  Automa6c  Heritage  Metadata  Enrichment  with  Historic  Events  Museums  and  the  Web  2011  h]p://www.museumsandtheweb.com/mw2011/papers/automa6c_heritage_metadata_enrichment_with_hi  

CLIOPATRIA TRIPLE STORE

130K  TRIPLES  (FOR  NOW)  SPARQL  ENDPOINT    

HTTP://ECULTURE.CS.VU.NL:8877/DIVE/HOME  

SPARQL  SPARQL  SPARQL  SPARQL  

engaging users

through event

narratives

EXPLORATIVE SEARCH

•  Erp, M. van; Oomen, J.; Segers, R.; Akker, C. van de; Aroyo, L.; Jacobs, G.; Legêne, S; Meij, L. van der;O ssenbruggen, J.R. van; Schreiber, G. Automatic Heritage Metadata Enrichment with Historic Events Museums and the Web 2011 http://www.museumsandtheweb.com/mw2011/papers/automatic_heritage_metadata_enrichment_with_hi

h]ps://w

ww.flickr.com

/photos/drainrat/14779928998/  

DIGITAL SUBMARINE UI

h]ps://w

ww.flickr.com

/photos/benjcarson/245171885  

INFINITY OF EXPLORATION

h]ps://w

ww.flickr.com

/photos/mibuchat/2774251415  

DIVE+  Timeline  

The  Team:  Victor  de  Boer,  Oana  Inel,  Lora  Aroyo,  Johan  Oomen,  Jaap  Blom,  Werner  Helmich  &  Dennis  De  Beurs,  Chiel  van  den  Akker,  Susan  Legêne,  Huub  Wijfies,  Carlos  

Mar6nez  Or6z  

dive.beeldengeluid.nl

THANK YOU!

http://lora-aroyo.org ! http://slideshare.net/laroyo ! @laroyo


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