Mdst3703 ontology-overrated-2012-10-16


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  • This kind of structure is optimized for human retrieval
  • Libraries are like databases – they have structures too
  • But this kind of structure
  • Example
  • Eric Fischer creates maps that merge geographic locations with geotagged photos from Flickr and tweets from Twitter. Red dots pinpoint the locations of Flickr pictures, blue dots show tweets, white dots mark places that have been posted to both. This map of Washington, D.C., shows messages concentrating around the national landmarks and power corridors of the city’s federal zone.
  • Mdst3703 ontology-overrated-2012-10-16

    1. 1. Ontology is Overrated Prof. Alvarado MDST 3703 16 October 2012
    2. 2. Business Midterms next Thursday … Assignment: – See Assignments > Final Projects—Homework 1
    3. 3. Review Manovich’s thesis: the database is a symbolic form – Produces a figure/ground reversal between paradigmatic resources and syntagmatic products – Between process of production and finished product How is this reversal represented in Vertov’s film? – How does Vertov “solve” the problem of relating paradigm to syntagm?
    4. 4. Overview Today we look at the development of the database as symbolic form on the web – Symbolic forms shape cognition In particular, we look at changes in new media associated with Web 2.0 – Web 2.0 is, roughly, the web after Google In many ways, the Web 2.0 revolution is the result of the “databasing of the web”
    5. 5. Each of these are made possible by the application of database logic
    6. 6. Clay Shirky is one of the most important theorists of the post- Google webAmerican media theorist. Studied fine arts at Yale.Teacher, writer, consultant. Books include HereComes Everybody and Cognitive Surplus.
    7. 7. What are some differences between Shirky’sview of ontology and others we have read?
    8. 8. All of the theorists interested in models have assumed that there is a model in the text that can be retrieved by scholars (experts)Shirky embraces the network effects of Web2.0, in which user participation outstrips the capacity for experts to control content The text emerges as a site of competing interpretations
    9. 9. David Weinberger
    10. 10. This is the biggest rationalization effect so far:That our view of knowledge itself is an effect of how we organize the documents that store itAs Wesch says, we will have to rethink some of our deepest notions
    11. 11. For example …The tree ofnature and logicFrom Ramon LullArs Magna (GreatArt), 1305
    12. 12. What is the advantage of this kind of structure?
    13. 13. Trees can be easily navigated by people
    14. 14. What is the advantage of this kind of structure?
    15. 15. Content can be classified in as many ways as there are perspectives But this kind of organization followsfrom information stored in databases
    16. 16. URL 1 TAG 1URL 1 TAG 2URL 1 TAG 3URL 2 TAG 2URL 2 tAG 3URL 3 TAG 1URL 4 TAG 5
    17. 17. The Method: Tags and URLs Links have addresses – <a href=“”>Click me</a> – Addresses are URLs Tags can be used to classify these addresses – Delicious – Diigo Anything can have an address and be tagged – Images in Flickr – Things in the world
    18. 18. Examples Delicious (web pages and tags) Flickr (images and tags) Twitter (tweets and hashtags, retweets)
    19. 19. Effects Cool visualizations Sometimes useful mashups The web itself becomes a large, socially constructed database
    20. 20. visualization of messages referencing the #Aristotle hashtag on Twitter, created bySocial Collider. The red lines in the center are the #Aristotle references.
    21. 21. “we could mine the tweets surrounding anarchived hashtag in order to generate a topicbased context that would persist after theevent had been long gone” Tag Powered Contex -- Scrape tweeting links using the hashtag from the twapperkeeper archive and feed them to a facet of the search engine -- Look to other services, such as delicious, to see who has been bookmarking URLs with the particular tag -- Look to delicious to see who bookmarked the ALTC2010 homepageSEE http://o
    22. 22. 35,000,000 Flickr Photos, Mappedhat happens when images are tagged by locatio
    23. 23. With Web 2.0 and social media, theweb itself becomes a big database
    24. 24. When ontology doesn’t work Domain – Large corpus – No formal categories – Unstable entities – Unrestricted entities – No clear edges Participants – Uncoordinated users – Amateur users – Naive catalogers – No Authority
    25. 25. Question Are Unsworth’s and Shirky’s positions compatible? – What are their major differences? – Both approaches want to generate data and produce visualizations … – Both approaches expose classifications that are surprising and interesting
    26. 26. Michael Wesch is a UVA-trained culturalanthropologist at Kansas State. The video you sawpropelled him into superstar status . . .
    27. 27. Wesch Why is it important to separate form and content? How do XML and RSS relate to Shirky’s and Unsworth’s positions? How is Wesch’s argument similar to Shirky’s? Unsworths? How is it different from both Unsworth and Shirky?
    28. 28. Brad Pasanek is a Stanford trained UVA professor ofEnglish who has used a simple database approach tostudy metaphor.