ReadWriteWeb's Top 5 Web Trends in 2009
-
Upload
richard-macmanus -
Category
Technology
-
view
50.833 -
download
0
description
Transcript of ReadWriteWeb's Top 5 Web Trends in 2009
Top 5 Web Trends of 2009ReadWriteWeb’s
State of the Web, Sept 09
Presented by:
Richard MacManus, Founder & Editor, ReadWriteWeb
• http://www.readwriteweb.com
• Daily analysis of Web Technology news, products & trends
• Other ReadWriteWeb channels: ReadWriteStart (startups and entrepreneurs), ReadWriteEnterprise (social software inside organizations), ReadWriteTalk (podcast show)
• ReadWriteWeb is among the 20 most popular blogs in the world (ref: Technorati)
• Founder & Editor: Richard MacManus
• RWW writers: Marshall Kirkpatrick, Bernard Lunn, Alex Iskold, Sarah Perez, Frederic Lardinois, Dana Oshiro, Jolie O’Dell, Steven Walling
Web 2.0
• 2005-2008, The Social Web• Read/Write, two-way, anyone can be a publisher• The term “Web 2.0” defined an era; like “Dot Com” • Search (Google, Alternative Search Engines)• Social Networks (MySpace, Facebook, OpenSocial)• Online Media (YouTube, Hulu, Last.fm)• Content Aggregation / Syndication (Bloglines, Google
Reader, Techmeme, Topix)• Mashups (Google Maps, Flickr, Amazon)
Image credit: catspyjamasnz
Beyond Web 2.0: 2009 Trends
1. Structured / Linked Data- Wolfram Alpha, OpenCalais
2. Real-Time Web- Twitter, FriendFeed
3. Personalization- Facebook, Amazon.com
4. Mobile Web / Augmented Reality- FourSquare, Layer
5. Internet of Things- IBM, Pachube
1. Structured Web
• Web of Data– “Unstructured information will give way
to structured information - paving the road to more intelligent computing.” (When Sites Become Services; Alex Iskold, Mar 07)
– Pages not the center of the Web now, Data and Services are
• More Than Semantic Web– Linked Data– Microformats– RDFa– Curated content (Wolfram|Alpha uses
Wikipedia, licensed content, etc)– Any type of structured content: XML,
CSV files, database
Linked Data
• Linked Data: structured data, but not necessarily semantic
• W3C Linking Open Data (LOD) project
• The image illustrates participating data sets as of March 2009. E.g. Thomson Reuters' OpenCalais project, Freebase, and DBpedia
• Re-uses existing ontologies such as WordNet, FOAF, and SKOS• The data sets all grant access to their knowledge bases and link to items of other data sets. • The Web of Data: Creating Machine-Accessible Information; Alexander Korth, Apr 2009
Linked Data: Let A Thousand Flowers Bloom
• 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
Image credit: Tim Berners-Lee, TED, Feb 09
Linked Data: OpenCalais
Example: OpenCalaisReuters, 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
Google Rich Snippets
• Adding structured data to Google's core search.
• Rich snippets – extract and show useful info from web
pages– uses structured data open standards
such as microformats and RDFa
• Google evolving; Richard MacManus, May 09
Image credit: Matt Cutts, Google
Wolfram Alpha• “computational knowledge engine”• Vast repository of curated data
from public and licensed sources• Sophisticated Natural Language
Processing algorithms• Search engine-like interface,
natural language statements• Does computations on data• W|A: The Use Cases; Richard
MacManus, July 09• W|A: First Impressions; Frederic
Lardinois, April 09
2. Real-Time Web
1. New form of communication,2. New body of content,3. Real time,4. Public, social graph associated
with it,5. Implicit model of federation.
The Real-Time Web: A Primer; Ken Fromm, Aug 09
• A core part of many Internet products this year: Twitter, FriendFeed, Facebook, Google, Delicious, Wordpress, and many others.
Twitter• Real-Time Communication• Breaks News• Zeitgeist• Business and Competitive
Intelligence• The Twitter Platform; Marshall
Kirkpatrick, Mar 09
Facebook’s Changes• March 09
site re-design; focus on real-time stream
• June 09 real-time search
• Aug 09 Facebook acquires FriendFeed
3. Personalization
• Filters and recommendations
• “The Internet is shifting to discrete units of information […] organized in ways that are relevant and personal to each individual…”; Ken Fromm, Sep 09
• E.g. Twitter client like TweetDeck, Seesmic or Peoplebrowsr; group people, keywords and topics
Open Data• 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. • APIs, Portable data• Making data available on the Web via APIs, web services, open data standards
Social Graph• Social networks slowly opening up: OpenSocial / Facebook Platform --> Social Graph --> Custom Social Networks?• Brad Fitzpatrick: "the global mapping of everybody and how they're related” Thoughts on the Social Graph; Brad Fitzpatrick, Aug 07• Tim Berners-Lee: Third main "level" of computer networks (Giant Global Graph):Internet --> Web --> Graph. Social Graph & Beyond; Richard MacManus, Nov 07
Open Data Standards
• Data portability - taking your data and friends from one site to another. Check out DataPortability.org
• OpenID- portable identity; single sign-on• OpenSocial - Google initiative for social networks,
enabling developers to create widgets with one set of code; MySpace a member, Facebook isn’t
• APML - growing ‘Attention’ standard; Your Attention Data is all the information online about what you read, write,
share and consume
Recommendation Engines• 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.
• Personalization is driving it.
4 Approaches:
• Personalized recommendation - recommend things based on the individual's past behavior
• Social recommendation - recommend things based on the past behavior of similar users
• Item recommendation - recommend things based on the item itself
• A combination of the three approaches above
Rethinking Recommendation Engines; Alex Iskold, Feb 08
Recommendation Engines - Examples
• Amazon• Netflix• last.fm• Pandora• StumbleUpon• del.icio.us • 10 Recommended Recommendation Engines; Richard MacManus, Feb 08• 9 Recommendation Tools We Wish We Had; Marshall Kirkpatrick, Nov 08
4. Mobile Web
• Portable, physical world• Location-aware• Apple Dominates Mobile Web, But
Android on The Rise...– iPhone share of smartphone traffic: 45% worldwide
and 60% in the U.S.– Android 12% in U.S. and 7% worldwide
Admob, July 09
• iPhone revolution• Revolutionary Mobile Web UI (multi-touch)• Runs OS X, Safari = can view full websites in the
browser on a mobile phone (not WAP!)• Apps galore; Desktop class applications• 3G version released July 08, along with App Store• Ref: Boom! iPhone Rocks Tech World; Richard
MacManus, Jan 07
Mobile Web AppsMobile Web Apps Explosion• Mobile Web Apps & Sites; Richard MacManus,
Nov 08• Google Maps for Mobile• Opera Mini• Fring (VoIP, IM)• Shozu (send media to Web)• Facebook iPhone app
• Yahoo OneConnect• Microsoft: mobile version of Microsoft Office, MySpace platform on Windows Mobile phones.• "Facebook Connect for Mobile Web" makes mobile apps more social.• Promising startups: Brightkite, Foursquare
Augmented Reality
• Augmented reality: the addition of a layer to the world on your mobile device
• Android the early leader, iPhone catching up
• Example iPhone apps: Paris Metro Subway, Yelp app with AR, London Bus app3 Augmented Reality Apps; Marshall Kirkpatrick, Aug 09
• Other apps: Layar, Wikitude• AR Hype on the Rise; Sarah
Perez, Aug 09
Image credit: Mr.Whisper
5. Internet of Things
• When real world objects (e.g. fridges, lights and toasters) get connected to the Internet.
• Network of Internet-enabled objects, together with web services that interact with these objects.
• Technologies include RFID (radio frequency identification), sensors, and smartphones.
Image credit: Touchatag
IBM & The Internet of Things
• Offers a range of RFID and sensor technology solutions
• IBM & Danish transportation company Container Centralen: sensors as part of the entire travel chain
• Allows participants to monitor conditions and climate during travel.IBM and IoT; Richard
MacManus, July 09
Pachube: Platform for Internet Enabled Environments
• Pachube (pronounced "PATCH-bay"): lets you tag and share real time sensor data from objects, devices, buildings and environments both physical and virtual.
• Pachube is about "environments" moreso than "sensors.”Pachube review; Richard MacManus, May 09
ReadWriteWeb's Top 5 Web Trends of 2009
1. Structured Data2. The Real-Time Web3. Personalization4. Mobile Web & Augmented Reality5. Internet of Things