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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	
  	
  
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/	
  	
  
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>	
  
        	
  	
  
Prepping	
  Data	
                #lod4h	
  




hPps://github.com/OpenRefine	
  
Steps	
  to	
  PublicaKon	
                                                #lod4h	
  

Export	
  data	
  as	
  RDF	
  
	
  
Publish	
  on	
  the	
  web	
  
	
  
Celebrate!	
  




                                  hPp://linkeddatabook.com/edi0ons/1.0/#htoc61	
  
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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DHWI Linked Open Data - Show and Tell

  • 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. 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. 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. Prepping  Data   #lod4h   hPps://github.com/OpenRefine  
  • 5. Steps  to  PublicaKon   #lod4h   Export  data  as  RDF     Publish  on  the  web     Celebrate!   hPp://linkeddatabook.com/edi0ons/1.0/#htoc61  
  • 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