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Linked Open Data and American Art
 

Linked Open Data and American Art

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Presentation for the Linked Open Data American Art Collaborative on April 29, 2013.

Presentation for the Linked Open Data American Art Collaborative on April 29, 2013.

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    Linked Open Data and American Art Linked Open Data and American Art Presentation Transcript

    • Linking  the  American  Art  Museum  to  the  Cloud  What  is  Linked  Open  Data?  (Bear  with  me…)    Data  published  by  exis0ng  internet  protocols  that  use  a  URI  (Unique  Resource  Indicator)  as  the  primary  discoverable  en0ty  for  a  resource  (e.g.  person,  object,  web  page,  etc.)    THE  FIVE  STARS  OF  LOD  (Tim  Berners  Lee):  ★  make  your  stuff  available  on  the  web  (whatever  format)  under  an  open  license    ★★  make  it  available  as  structured  data  (e.g.,  Excel  instead  of  image  scan  of  a  table)    ★★★  use  non-­‐proprietary  formats  (e.g.,  CSV  instead  of  Excel)    ★★★★  use  URIs  to  iden0fy  things,  so  that  people  can  point  at  your  stuff    ★★★★★  link  your  data  to  other  data  to  provide  context  
    • Linking  the  American  Art  Museum  to  the  Cloud  What  is  Linked  Open  Data  good  for?    For  the  American  Art  Museum,  Linked  Open  Data  will:  •  Make  our  collec0ons  data  more  discoverable  on  the  web  •  Allow  for  more  sophis0cated  queries  about  our  collec0ons  •  Create  connec0ons  with  other  museums  •  Create  connec0ons  with  other  non-­‐museum  resources  •  Create  connec0ons  with  our  dispersed  content  on  social  media  •  Help  us  beMer  adapt  to  the  changing  web    
    • Linking  the  American  Art  Museum  to  the  Cloud  GeLng  Started    Our  IniMal  QuesMons  •  Will  it  take  a  lot  of  0me  and  resources  to  prepare  our  data?  •  How  does  LOD  differ  from  what  a  Google  search  can  do?  •  Is  it  foolish  to  be  doing  this  before  standards  are  in  place?  •  What  if  people  do  inappropriate  things  with  our  data?  •  Will  it  be  worth  the  0me  and  effort  in  the  end?  •  How  do  we  handle  all  of  the  non-­‐public  data  that  we  have?    The  Project  •  Working  with  the  Informa0on  Sciences  Ins0tute  (ISI)  and  Department  of  Computer  Science  at  the  University  of  Southern  California.  •  Goal:  Publish  5-­‐star  Linked  Open  Data  of  our  complete  collec0ons  data.  •  Project  Phases:  Prepare  the  data,  Create  an  ontology,  map  the  data  to  RDF,  link  the  data  to  hub  datasets,  publish  the  data.  
    • Linking  the  American  Art  Museum  to  the  Cloud  The  Process    Preparing  the  data  •  Collec0ons  data  is  stored  in  TMS  •  Publish  only  the  data  that  is  already  visible  on  our  website  •  Use  an  exis0ng  output  report  from  TMS  •  Several  fields  needed  to  be  interpreted  first    Designing  the  Ontology  •  We  built  our  ontology  around  exis0ng  ontologies    •  Europeana  Data  Model  v.2    •  SKOS    •  Dublin  Core    •  RDA  Group  2  Elements    •  schema.org  
    • Linking  the  American  Art  Museum  to  the  Cloud  The  Process    Mapping  the  Data  to  RDF  (Resource  DescripMon  Framework)  •  Used  KARMA  tool  to  model  the  data  (hMp://www.isi.edu/integra0on/karma/)            
    • Linking  the  American  Art  Museum  to  the  Cloud  The  Process    Linking  the  Data  to  External  Data  •  Verify  matches  before  publishing  
    • Linking  the  American  Art  Museum  to  the  Cloud  The  Process    Linking  the  Data  to  External  Data  (cont…)  •  Have  already  linked  ar0sts  to:  •  DBPedia  -­‐  2,194  •  New  York  Times  -­‐  70  •  Addi0onally,  can  link  ar0sts  to:  •  GeMy  Union  List  of  Ar0st  Names  -­‐  2,110  (ULAN  is  not  yet  published  as  LOD,  but  will  be)  •  Rijksmuseum  dataset  –  551  (links  are  not  yet  verified)  •  In  the  works:  •  Linking  places  •  Linking  concepts  •  Linking  to  datasets  from  other  museums  •  Linking  to  social  media  content  Publishing  •  Plan  to  publish  complete  dataset  under  a  CC0  license  
    • Linking  the  American  Art  Museum  to  the  Cloud  Conclusions    •  Able  to  convert  data  for  en0re  collec0on  •  Using  KARMA  to  model  the  data  and  verify  links  reduced  0me  and  resources    •  LOD  eliminates  the  “noise”  of  a  Google  search    What’s  next?  •  Embed  LOD  on  our  website  •  Improve  representa0on  of  ar0sts  on  Wikipedia  •  Create  an  ongoing  maintenance  plan  •  Tag  object-­‐  and  person-­‐related  museum  content  on  social  sites  •  Inves0gate  mapping  and  linking  an  artwork’s  subject  •  Expand  the  LOD  in  ways  that  will  enhance  research  •  Create  a  tool  that  allows  users  to  “curate  stories”:  •  hMp://prezi.com/htrvh2jrcsio/cura0ng-­‐stories-­‐with-­‐linked-­‐open-­‐data/  •  Encourage  others  to  build  applica0ons  with  our  data    
    • Linking  the  American  Art  Museum  to  the  Cloud  Example