Library Home Page
Library Home Page
 Library Catalogue 
 Databases 
 My Account 
 Search Tips 
   
Keyword SearchBrowseAdvanced SearchCourse ReservesHistory
Search:    Refine Search  
> You're searching: Dorothy H. Hoover Library (OCAD University)
 
Item Information
 HoldingsHoldings
 
 
 More by this author
 
  •  
  • Ebbi, Bergur.
     
     Subjects
     
  •  
  • Big data.
     
  •  
  • Information visualization.
     
  •  
  • Visualization -- Data processing.
     
  •  
  • Art -- Research -- Theses.
     
     Browse Catalog
      by author:
     
  •  
  •  Ebbi, Bergur.
     
      by title:
     
  •  
  •  The poetry of big da...
     
     
     
     MARC Display
    The poetry of big data by Bergur Ebbi.
    by Ebbi, Bergur.
    [Toronto] : OCAD University, 2015.
    Subjects
  • Big data.
  •  
  • Information visualization.
  •  
  • Visualization -- Data processing.
  •  
  • Art -- Research -- Theses.
  • Description: 
    115 p. : col. ill. ; 28 cm.
    Content Notes: 
    "Submitted to OCAD University in partial fulfillment of the requirements for the degree of Master of Design in Strategic Foresight and Innovation. Toronto, Ontario, Canada, December 2015."
    Print copy available for consultation at the OCAD University Library.
    Additional Author: 
    OCAD University. Graduate Studies Programs.
    Summary: 
    "Big Data is examined as a cultural phenomenon with the objective of understanding what constitutes its meaning, how that meaning is produced and by whom. The broader story is examined, including Big Data’s relation to algorithms and its grand scope, relatively recent arrival and connotations to the world of religion and science fiction. Big Data is framed within eleven specific categories based on the STEEPV and VERGE information gathering frameworks in order to better capture specific stories and points of interest relating to the term. Among discoveries were that Big Data is largely connected to power and wealth and its story is often told by those that either possess the data itself or have the means to process it. The third and final chapter focuses on visual representation of Big Data. With the use of a specified framework, a random sample of relevant images are gathered from the Google search engine and examined with the use of semiotic analyses in order to pinpoint elements that constitute their meaning. A pattern is discovered that shows that Big Data is largely either presented with deliberately complex visualisation that often contains a cloud-formation or a more minimalistic and conceptual visualisation reminiscent of space. A similar semiotic analysis framework is then used to study two Big Data video commercials. The results shows that Big Data can be represented in both a sleek and declaratory way but also with the use of a more traditional character based story telling."--Abstract.
    Weblink: 
    Access e-thesis: http://openresearch.ocadu.ca/id/eprint/395
    Number of Holds: 
    0
    Add to my list 
    Copy/Holding information
    Call No.CollectionStatus 
    N344 M15 E23 REF.ReferenceChecked InRequest Copy
    Add Copy to MyList

    Format:HTMLPlain textDelimited
    Subject: 
    Email to:


    Horizon Information Portal 3.24_8266M
     Powered by Dynix
    © 2001-2013 SirsiDynix All rights reserved.
    Ontario College of Art and Design