DHWI Linked Open Data - Show and Tell

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Class Show and Tell from "Publishing and Using Linked Open Data" at the University of Maryland's Digital Humanities Winter Institute.

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DHWI Linked Open Data - Show and Tell

  1. 1. What  is  Linked  Open  Data?   #lod4h  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:    ★  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    
  2. 2. What  is  it  good  for  (HUH!)?   #lod4h  Making  your  data  more  discoverable  and  useful  by  everybody    Making  the  web  machine-­‐readable  at  a  more  granular  level    Allowing  for  more  sophis0cated  queries  using  inference    Connec0ng  your  data  to  other  people’s  data    Examples:  hPp://exhibi0ons.europeana.eu/,  hPp://pelagios-­‐project.blogspot.com/    
  3. 3. Modeling  and  Expressing   #lod4h  Using  established  and/or  custom  ontologies  Using  RDF  (Resource  Descrip0on  Framework)    RDF  Triples:  For  example:    A  URI  that  represents  the  person  Georgina      has  the  name    Georgina  Goodlander    <hPp://countedshadows.com/wordpress#>      foaf:hasName    “Georgina  Goodlander”      The  person  Georgina  in  this  URI        Is  the  same  thing  as  The  person  Georgina  in  this  URI    <hPp://countedshadows.com/wordpress#>    skos:exactMatch    <hPp://dbpedia.org/resource/Goodlander_G>      
  4. 4. Prepping  Data   #lod4h  hPps://github.com/OpenRefine  
  5. 5. Steps  to  PublicaKon   #lod4h  Export  data  as  RDF    Publish  on  the  web    Celebrate!   hPp://linkeddatabook.com/edi0ons/1.0/#htoc61  
  6. 6. Resources  &  Free  Stuff  to  Use!   #lod4h  Class  Syllabus  &  Wiki:  hPp://lod4h.pbworks.com  #lod4h  Open  Refine  for  cleaning  data  and  assigning  RDF  proper0es:  hPps://github.com/OpenRefine  Protégé  for  crea0ng  and  edi0ng  ontologies:    hPps://github.com/OpenRefine  Data  Hub  for  finding  other  open  data  sets:  hPp://datahub.io/    Challenges?    Few  exis0ng  examples  of  applica0on    Limita0ons  of  established  ontologies    Conceptualizing  messy  data  is  hard    Daun0ng  scale    Developing  and  maintaining  automa0on  and  workflow    Time  and  resources    

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