Slideshow transcript
Slide 1: Mashups & Data Visualizations: The New Breed of Web Applications Darlene Fichter darlene.fichter@usask.ca October 31, 2007
Slide 2: Outline Mashups Library Examples Data Visualization Tools Library Opportunities Over to You
Slide 3: The eyes only see what the mind comprehends Confocal micrograph by Ludovic Collin
Slide 4: Web 1.0 Realm of folks that knew HTML coding Programmers
Slide 5: Web 2.0 Everyone can participate Don’t need to know HTML Blog, wiki, .. Citizen journalists, explosion of stock photo sites The rise of the amateur programmer.
Slide 6: DIY Programming 5 minute customization of applications No longer the purvey of the techno elite
Slide 7: Definition A mashup is a web application that uses content from more than one source to create a new service Content is typically sourced via an API* or a RSS Feed Term comes from pop music *API - set of routines for accessing an application or service
Slide 8: What’s a Mashup? Photo by fensterbme via flickr (CC)
Slide 9: Mashup Ecosystem Open data Open set of services & applications (APIs) Us
Slide 10: Mashup Ecosystem
Slide 11: Open Content Web Applications Mashups
Slide 12: 2456 Mashups Programmable Web – Mashup Dashboard http://www.programmableweb.com/mashups
Slide 13: Mashups and Web 2.0 Implications Fastest growing ecosystems Don’t have to get anybody’s approval to provide a new API to the Internet operating systems Content that can be repurposed and remixed gets used
Slide 14: Mashup Tools Yahoo Maps Frappr Google Maps Yahoo Pipes Microsoft Popfly
Slide 15: Earthquake
Slide 16: Frappr http://www.frappr.com/blogginglibrarians/ Easy to use of anyone
Slide 17: Google My Maps Go to maps.google.com Click on My Maps Add pushpins plus notes to create a map Embed the code in your library site Library branches Historical buildings Locations in stories Easy to use of anyone
Slide 18: Chocomap.com
Slide 19: McMaster Aerial Photos 5,000 aerial photographs of Hamilton, Ontario http://library.mcmaster.ca/php/blog.php?id=675&display=full
Slide 20: Western Springs History a joint project of the Thomas Ford Memorial Library and Western Springs Historical Society Easy for anyone who can edit some HTML or XML files. http://www.westernspringshistory.org/map/ Local data: http://www.westernspringshistory.org/map/data.xml
Slide 22: data.xml <markers> lat="41.809488" lng="-87.903845" img="" <marker Williams House" addr="4380 Central" descr="Benezette url="http://www.westernspringshistory.org/4380-central/"/> <marker lat="41.813353" lng="-87.903827" img="" descr="Bonham House" addr="4210 Central" url="http://www.westernspringshistory.org/4210-central/"/> <marker lat="41.813000" lng="-87.899300" img="4636woodland.gif" descr="Claes Arbeen House" addr="4636 Woodland" url="http://www.westernspringshistory.org/4636- woodland/"/> <marker lat="41.809578" lng="-87.903822" img="" descr="Cropp House" addr="4381 Central" url="http://www.westernspringshistory.org/4381-central/"/> <marker lat="41.813400 " lng="-87.903839" img="" descr="Eagleston-Blair House" addr="4206 Central" url="http://www.westernspringshistory.org/4206-central/"/>
Slide 23: Yahoo Pipes pipes.yahoo.com/pipes/ Tutorial http://mrspeaker.webeisteddfod.com/2007/02/10/ yahoo-pipes/
Slide 24: Find a Library
Slide 25: Book Carousel http://www.cambridgelibraries.ca/hot/carousel.cfm
Slide 26: Try More Tools
Slide 27: Unintended Consequences Data Authority - garbage in, garbage out Client side scripts that modify pages All instances of Microsoft on any site are rewritten to say “the d*!?! Microsoft”
Slide 28: Data Visualizations It’s a visual world Notice the growth of the use of rich information graphics and visualizations in newspapers and magazines Lots of opportunities and new tools popping up that help display data visually
Slide 29: Population Density of the USA http://www.time.com/time/covers/20061030/where_we_live/
Slide 30: Web Site Structure Mapper http://www.aharef.info/2006/05/websites_as_graphs.htm
Slide 31: Guess What Site Has This HTML Map?
Slide 32: Wired.com
Slide 33: Newsmap USA Canada Both a mashup and data visualization. Compares news coverage across countries and cultures. http://www.marumushi.com/apps/newsmap/newsmap.cfm
Slide 34: Facets as Elastic Lists http://well-formed-data.net/experiments/elastic_lists/
Slide 35: Social Sites for Data Visualization Allows new kind of data analysis Caters to the curious and serious, statistician and the citizen Important new medium
Slide 36: Social Data Sites Slide: Tom Coates, Yahoo! Photo by maqroll
Slide 37: Social Data Tools Many Eyes Gapminder Swivel
Slide 38: Swivel
Slide 39: Swivel – Tasty Data Goodies http://www.swivel.com Does bowling really burn the most calories?
Slide 40: Pumpkin Production Which state produces the most pumpkins? Photo by hopefoote via flickr (CC)
Slide 41: Data Badge
Slide 42: Many Eyes from IBM Alphaworks http://services.alphaworks.ibm.com/manyeyes/home
Slide 43: Why is the Sun Called a Dwarf Star? http://services.alphaworks.ibm.com/manyeyes/view/SJjqGFsOtha6ICEU6EQIF2-
Slide 44: Love – Analyzing Textual Works
Slide 45: Many Eyes 1. View and discuss visualizations 2. View and discuss data sets 3. Create visualizations from existing data sets If you register, you can also: 4. Rate data sets and visualizations 5. Upload your own data 6. Create and participate in topic hubs 7. Select items to watch 8. Track your contributions, watchlist, and topic hubs 9. See comments that others have written to you
Slide 47: Trendalyzer / Gapminder Video of Hans Rosling showing the gapminder software and lively animations of world development trends.
Slide 48: Getting Started with Mashups and Data Visualizations is Easy Step 1 – Get an idea Step 2 – Create an account Step 3 – Read the fine print about use Step 4 – Create it! API: Sign up for a developer token http://aws.amazon.com/ http://www.google.com/apis/maps/ http://api.search.yahoo.com/webservices/register_application
Slide 49: Thank you Darlene Fichter darlene.fichter@usask.ca library2.usask.ca/~fichter/




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