ReadWriteWeb's Top 5 Web Trends in 2009


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The State of the Web 2009, according to tech blog ReadWriteWeb. This presentation outlines 5 big trends on the Internet this year: Structured Data, Real-Time Web, Personalization, Mobile Web / Augmented Reality, Internet of Things .

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  • Another great slide from you, Richard.

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ReadWriteWeb's Top 5 Web Trends in 2009

  1. Top 5 Web Trends of 2009 ReadWriteWeb’s State of the Web, Sept 09 Presented by: Richard MacManus, Founder & Editor, ReadWriteWeb
  2. <ul><li> </li></ul><ul><li>Daily analysis of Web Technology news, products & trends </li></ul><ul><li>Other ReadWriteWeb channels: ReadWriteStart (startups and entrepreneurs), ReadWriteEnterprise (social software inside organizations), ReadWriteTalk (podcast show) </li></ul><ul><li>ReadWriteWeb is among the 20 most popular blogs in the world (ref: Technorati) </li></ul><ul><li>Founder & Editor: Richard MacManus </li></ul><ul><li>RWW writers: Marshall Kirkpatrick, Bernard Lunn, Alex Iskold, Sarah Perez, Frederic Lardinois, Dana Oshiro, Jolie O’Dell, Steven Walling </li></ul>
  3. Web 2.0 <ul><li>2005-2008, The Social Web </li></ul><ul><li>Read/Write, two-way, anyone can be a publisher </li></ul><ul><li>The term “Web 2.0” defined an era; like “Dot Com” </li></ul><ul><li>Search (Google, Alternative Search Engines) </li></ul><ul><li>Social Networks (MySpace, Facebook, OpenSocial) </li></ul><ul><li>Online Media (YouTube, Hulu, </li></ul><ul><li>Content Aggregation / Syndication (Bloglines, Google Reader, Techmeme, Topix) </li></ul><ul><li>Mashups (Google Maps, Flickr, Amazon) </li></ul><ul><li>Image credit: catspyjamasnz </li></ul>
  4. Beyond Web 2.0: 2009 Trends <ul><li>Structured / Linked Data - Wolfram Alpha, OpenCalais </li></ul><ul><li>Real-Time Web - Twitter, FriendFeed </li></ul><ul><li>Personalization - Facebook, </li></ul><ul><li>Mobile Web / Augmented Reality - FourSquare, Layer </li></ul><ul><li>Internet of Things - IBM, Pachube </li></ul>
  5. 1. Structured Web <ul><li>Web of Data </li></ul><ul><ul><li>“ Unstructured information will give way to structured information - paving the road to more intelligent computing.” ( When Sites Become Services ; Alex Iskold, Mar 07) </li></ul></ul><ul><ul><li>Pages not the center of the Web now, Data and Services are </li></ul></ul><ul><li>More Than Semantic Web </li></ul><ul><ul><li>Linked Data </li></ul></ul><ul><ul><li>Microformats </li></ul></ul><ul><ul><li>RDFa </li></ul></ul><ul><ul><li>Curated content (Wolfram|Alpha uses Wikipedia, licensed content, etc) </li></ul></ul><ul><ul><li>Any type of structured content: XML, CSV files, database </li></ul></ul>
  6. Linked Data <ul><li>Linked Data: structured data, but not necessarily semantic </li></ul><ul><li>W3C Linking Open Data (LOD) project </li></ul><ul><li>The image illustrates participating data sets as of March 2009. E.g. Thomson Reuters' OpenCalais project, Freebase, and DBpedia </li></ul><ul><li>Re-uses existing ontologies such as WordNet, FOAF, and SKOS </li></ul><ul><li>The data sets all grant access to their knowledge bases and link to items of other data sets. </li></ul><ul><li>The Web of Data: Creating Machine-Accessible Information ; Alexander Korth, Apr 2009 </li></ul>
  7. Linked Data: Let A Thousand Flowers Bloom <ul><li>Linked Data enables data to be opened up and connected so that people can build interesting new things from it. (via Tim Berners-Lee) Linked Data is Blooming ; Richard MacManus, May 2009 </li></ul>Image credit: Tim Berners-Lee, TED, Feb 09
  8. Linked Data: OpenCalais Example: OpenCalais Reuters, the international business and financial news giant, launched an API called OpenCalais in Feb 08. The API does a semantic markup on unstructured HTML documents - recognizing people, places, companies, and events. OpenCalais review ; Alex Iskold, Feb 08
  9. Google Rich Snippets <ul><li>Adding structured data to Google's core search. </li></ul><ul><li>Rich snippets </li></ul><ul><ul><li>extract and show useful info from web pages </li></ul></ul><ul><ul><li>uses structured data open standards such as microformats and RDFa </li></ul></ul><ul><li>Google evolving ; Richard MacManus, May 09 </li></ul>Image credit: Matt Cutts, Google
  10. Wolfram Alpha <ul><li>“ computational knowledge engine” </li></ul><ul><li>Vast repository of curated data from public and licensed sources </li></ul><ul><li>Sophisticated Natural Language Processing algorithms </li></ul><ul><li>Search engine-like interface, natural language statements </li></ul><ul><li>Does computations on data </li></ul><ul><li>W|A: The Use Cases ; Richard MacManus, July 09 </li></ul><ul><li>W|A: First Impressions ; Frederic Lardinois, April 09 </li></ul>
  11. 2. Real-Time Web <ul><li>New form of communication, </li></ul><ul><li>New body of content, </li></ul><ul><li>Real time, </li></ul><ul><li>Public, social graph associated with it, </li></ul><ul><li>Implicit model of federation. The Real-Time Web: A Primer ; Ken Fromm, Aug 09 </li></ul><ul><li>A core part of many Internet products this year: Twitter, FriendFeed, Facebook, Google, Delicious, Wordpress, and many others. </li></ul>
  12. Twitter <ul><li>Real-Time Communication </li></ul><ul><li>Breaks News </li></ul><ul><li>Zeitgeist </li></ul><ul><li>Business and Competitive Intelligence </li></ul><ul><li>The Twitter Platform; Marshall Kirkpatrick, Mar 09 </li></ul>
  13. Facebook’s Changes <ul><li>March 09 site re-design ; focus on real-time stream </li></ul><ul><li>June 09 real-time search </li></ul><ul><li>Aug 09 Facebook acquires FriendFeed </li></ul>
  14. 3. Personalization <ul><li>Filters and recommendations </li></ul><ul><li>“ The Internet is shifting to discrete units of information […] organized in ways that are relevant and personal to each individual …”; Ken Fromm, Sep 09 </li></ul><ul><li>E.g. Twitter client like TweetDeck, Seesmic or Peoplebrowsr; group people, keywords and topics </li></ul>
  15. Open Data <ul><li>The more data about you and your social graph that is available to be used by applications, the better targeted the content and/or service will be to you. </li></ul><ul><li>APIs, Portable data </li></ul><ul><li>Making data available on the Web via APIs, web services, open data standards </li></ul><ul><li>Social Graph </li></ul><ul><li>Social networks slowly opening up: OpenSocial / Facebook Platform --> Social Graph --> Custom Social Networks? </li></ul><ul><li>Brad Fitzpatrick: &quot;the global mapping of everybody and how they're related” Thoughts on the Social Graph ; Brad Fitzpatrick, Aug 07 </li></ul><ul><li>Tim Berners-Lee: Third main &quot;level&quot; of computer networks (Giant Global Graph): Internet --> Web --> Graph. Social Graph & Beyond ; Richard MacManus, Nov 07 </li></ul>
  16. Open Data Standards <ul><li>Data portability - taking your data and friends from one site to another. Check out </li></ul><ul><li>OpenID - portable identity; single sign-on </li></ul><ul><li>OpenSocial - Google initiative for social networks, enabling developers to create widgets with one set of code; MySpace a member, Facebook isn’t </li></ul><ul><li>APML - growing ‘Attention’ standard; Your Attention Data is all the information online about what you read, write, share and consume </li></ul>
  17. Recommendation Engines <ul><li>Given a set of ratings for a particular user, along with those of the whole user base, come up with new items that this user will like. </li></ul><ul><li>Personalization is driving it. </li></ul><ul><li>4 Approaches: </li></ul><ul><li>Personalized recommendation - recommend things based on the individual's past behavior </li></ul><ul><li>Social recommendation - recommend things based on the past behavior of similar users </li></ul><ul><li>Item recommendation - recommend things based on the item itself </li></ul><ul><li>A combination of the three approaches above </li></ul><ul><li>Rethinking Recommendation Engines; Alex Iskold, Feb 08 </li></ul>
  18. Recommendation Engines - Examples <ul><li>Amazon </li></ul><ul><li>Netflix </li></ul><ul><li> </li></ul><ul><li>Pandora </li></ul><ul><li>StumbleUpon </li></ul><ul><li> </li></ul><ul><li>10 Recommended Recommendation Engines ; Richard MacManus, Feb 08 </li></ul><ul><li>9 Recommendation Tools We Wish We Had ; Marshall Kirkpatrick, Nov 08 </li></ul>
  19. 4. Mobile Web <ul><li>Portable, physical world </li></ul><ul><li>Location-aware </li></ul><ul><li>Apple Dominates Mobile Web, But Android on The Rise... </li></ul><ul><ul><li>iPhone share of smartphone traffic: 45% worldwide and 60% in the U.S. </li></ul></ul><ul><ul><li>Android 12% in U.S. and 7% worldwide Admob, July 09 </li></ul></ul><ul><li>iPhone revolution </li></ul><ul><li>Revolutionary Mobile Web UI (multi-touch) </li></ul><ul><li>Runs OS X, Safari = can view full websites in the browser on a mobile phone (not WAP!) </li></ul><ul><li>Apps galore; Desktop class applications </li></ul><ul><li>3G version released July 08, along with App Store </li></ul><ul><li>Ref: Boom! iPhone Rocks Tech World ; Richard MacManus, Jan 07 </li></ul>
  20. Mobile Web Apps <ul><li>Mobile Web Apps Explosion </li></ul><ul><li>Mobile Web Apps & Sites ; Richard MacManus, Nov 08 </li></ul><ul><li>Google Maps for Mobile </li></ul><ul><li>Opera Mini </li></ul><ul><li>Fring (VoIP, IM) </li></ul><ul><li>Shozu (send media to Web) </li></ul><ul><li>Facebook iPhone app </li></ul><ul><li>Yahoo OneConnect </li></ul><ul><li>Microsoft: mobile version of Microsoft Office, MySpace platform on Windows Mobile phones. </li></ul><ul><li>&quot;Facebook Connect for Mobile Web&quot; makes mobile apps more social. </li></ul><ul><li>Promising startups: Brightkite, Foursquare </li></ul>
  21. Augmented Reality <ul><li>Augmented reality: the addition of a layer to the world on your mobile device </li></ul><ul><li>Android the early leader, iPhone catching up </li></ul><ul><li>Example iPhone apps: Paris Metro Subway, Yelp app with AR, London Bus app 3 Augmented Reality Apps ; Marshall Kirkpatrick, Aug 09 </li></ul><ul><li>Other apps: Layar, Wikitude </li></ul><ul><li>AR Hype on the Rise ; Sarah Perez, Aug 09 </li></ul>Image credit: Mr.Whisper
  22. 5. Internet of Things <ul><li>When real world objects (e.g. fridges, lights and toasters) get connected to the Internet. </li></ul><ul><li>Network of Internet-enabled objects, together with web services that interact with these objects. </li></ul><ul><li>Technologies include RFID (radio frequency identification), sensors, and smartphones. </li></ul>Image credit: Touchatag
  23. IBM & The Internet of Things <ul><li>Offers a range of RFID and sensor technology solutions </li></ul><ul><li>IBM & Danish transportation company Container Centralen: sensors as part of the entire travel chain </li></ul><ul><li>Allows participants to monitor conditions and climate during travel. IBM and IoT ; Richard MacManus, July 09 </li></ul>
  24. Pachube: Platform for Internet Enabled Environments <ul><li>Pachube (pronounced &quot;PATCH-bay&quot;): lets you tag and share real time sensor data from objects, devices, buildings and environments both physical and virtual. </li></ul><ul><li>Pachube is about &quot;environments&quot; moreso than &quot;sensors.” Pachube review ; Richard MacManus, May 09 </li></ul>
  25. ReadWriteWeb's Top 5 Web Trends of 2009 <ul><li>Structured Data </li></ul><ul><li>The Real-Time Web </li></ul><ul><li>Personalization </li></ul><ul><li>Mobile Web & Augmented Reality </li></ul><ul><li>Internet of Things </li></ul>