ReadWriteWeb Presentation Dec08
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The document summarizes key trends in web technology presented by Richard MacManus of ReadWriteWeb, including: 1) Web sites are becoming web services and pages are less central, with data and APIs driving most activity. This moves the web towards being more intelligent. 2) Semantic web technologies aim to make data on the web more structured and machine-readable to enable computers to better analyze and understand information. 3) Open data, social graphs, and mobile web applications are expanding the amount of available data and the ways users can access and share information across different platforms and devices. 4) Recommendation engines are becoming more personalized by combining individual, social, and item-based approaches to
ReadWriteWeb Presentation Dec08
- 1. What’s Next on the Web? Web Technology Trends for 2009 and Beyond Presented by: Richard MacManus, Founder & Editor, ReadWriteWeb
- 2. http://www.readwriteweb.com Daily coverage of Web Technology news, products & trends Other ReadWriteWeb properties: Enterprise Channel (enterprise web apps & trends), Jobwire (news on tech & media job hires), ReadWriteTalk (podcast show) ReadWriteWeb is among the 20 most popular blogs in the world (ref: Technorati) Founder & Editor: Richard MacManus RWW team: Bernard Lunn (COO), Marshall Kirkpatrick (VP Content Dev), Alex Iskold, Sarah Perez, Frederic Lardinois, Rick Turoczy, Lidija Davis, Sean Ammirati
- 3. Web 2.0 Read/Write, two-way, anyone can be a publisher Social Web The term “Web 2.0” defines 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
- 4. What’s Next? (Beyond Web 2.0) Web Sites Become Web Services “ Unstructured information will give way to structured information - paving the road to more intelligent computing.” ( Alex Iskold, ReadWriteWeb, Mar 07 ) Examples: Amazon E-Commerce API, del.icio.us API, Twitter API, Dapper, Yahoo! Pipes (scraping technologies) Pages not center of Web now, Data & Services are 90% of Twitter activity happens through its API Intelligent Web = data is getting smarter ( ref: Nova Spivack, Twine, Oct 07 ) Semantic Web Filters / recommendations Personalization Beyond PC - mobile, IPTV, physical world integration
- 5. Semantic Web Machines talking to machines Making the Web more 'intelligent’ Tim Berners-Lee: computers "analyzing all the data on the Web‚ the content, links, and transactions between people and computers.” Bottom Up = annotate, metadata, RDF! Top Down = Simple Image credit: dullhunk Top-down: Leverage existing web information Apply specific, vertical semantic knowledge Deliver the results as a consumer-centric web app
- 6. Semantic Web in Practice Semantic Web in The Real World - Not necessarily W3C Semantic Web An app that determines the meaning of text and other data, and then creates connections for users Data portability and connectibility are keys (ref: Nova Spivack) Example: Calais Reuters, the international business and financial news giant, launched an API called Open Calais in Feb 08. The API does a semantic markup on unstructured HTML documents - recognizing people, places, companies, and events. Ref: Reuters Wants The World To Be Tagged ; Alex Iskold, ReadWriteWeb, Feb 08
- 7. Semantic Apps Products to watch: Calais Twine Freeset Powerset Talis TrueKnowledge AdaptiveBlue TripIt Spock BooRah Hakia Dapper MashupAds Ref: 10 Semantic Apps to Watch - One Year Later and 10 More Semantic Apps to Watch ; Richard MacManus, ReadWriteWeb, Nov 08
- 8. Open Data Data-driven Web APIs, Portable data Making data available on the Web via APIs, web services, open data standards “ Data silos and walled gardens are a huge loss of opportunity and more people are figuring that out every day.” Marshall Kirkpatrick, ReadWriteWeb, January 2008 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”; Ref: Brad Fitzpatrick, Aug 07 Alex Iskold: “…it will take a lot of work to get a working solution. The challenges are conceptual, technical, political, business and educational.”; Ref: Social Graph: Concepts and Issues; Alex Iskold, ReadWriteWeb, Sep 07 Tim Berners-Lee: Third main "level" of computer networks (Giant Global Graph): Internet --> Web --> Graph. Ref: RWW, Nov 07
- 9. Social Networking Arms Race Google OpenSocial vs Facebook Google OpenSocial: MySpace, Yahoo!, LinkedIn, Ning, Orkut, Salesforce.com, Oracle, more… OpenSocial: 675M registered users, 7,500 apps (Nov 08). Facebook open sourcing its platform: any social network can implement Facebook applications Competing APIs: Google FriendConnect vs Facebook Connect Let’s not forget MySpace: Data Availability and New MySpace Profiles The Social Networking Arms Race,ReadWriteWeb, May 2008
- 10. Open Data: Products & Standards Open Data Products Google's Android mobile OS ; available for any phone manufacturer to install and build on top of; Android went open source Oct 08 ; first phone released Sept 08 in U.S. Data remix products ; e.g. Dapper, Yahoo Pipes Mashups; e.g. Last.fm mashups use Audioscrobbler - "a massive database that tracks listening habits and calculates relationships and recommendations based on the music people listen to." Lifestreaming apps (personal data aggregation and publishing); e.g. Tumblr, Jaiku, Soup.io, MyBlogLog, FriendFeed Ref: Lifestreaming: a ReadWriteWeb Primer, Jan 08 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
- 11. Mobile Web Portable Location-aware Integrated with physical world Always on, always carried, built-in payment model, mobile phone is a creative tool at point of creative impulse, gets the most accurate audience info. (ref: Tomi Ahonen, Oct 07 ) Google, Yahoo, Microsoft all ramping up their Mobile Web efforts (e.g. Yahoo Go platform ) iPhone 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 Rich HTML emails (competitor to Blackberry) 3G version released July 08, along with App Store Ref: Boom! iPhone Rocks Tech World, ReadWriteWeb, Jan 07
- 12. Mobile Web Apps Mobile Web Apps Explosion Mobile Web Apps & Sites; ReadWriteWeb, Nov 08 Examples: Google Maps for Mobile Opera Mini Fring (VoIP, IM) Shozu (send media to Web) Facebook iPhone app Twitter ReadWriteWeb’s Best Web LittleCo of 2007 Micro-blogging; mix between blogging and chatting; short updates, “140 characters or less” Used a lot during US elections “ It is the coverage of news events and the continued emergence of citizen journalism that will push Twitter toward the mainstream this year.” Josh Catone, ReadWriteWeb, Jan 08 Pic: drumsnwhistles
- 13. 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 Ref: Rethinking Recommendation Engines,Alex Iskold, ReadWriteWeb, Feb 08
- 14. Recommendation Engines - Examples Amazon, Netflix, last.fm, Pandora, StumbleUpon, del.icio.us are some of the most popular Last.fm music recommendation community sold to CBS for $280M & StumbleUpon sold to eBay for $75M; both in May ‘07 Ref: 10 Recommended Recommendation Engines, ReadWriteWeb, Feb 08 Nine Recommendation Tools We Wish We Had, ReadWriteWeb, Nov 08 Strands Invested $55 million so far Strands has created a social recommender engine that is able to provide real-time recommendations of products and services through computers, mobile phones and other Internet-connected devices. Working on open data formats for describing user taste data
- 15. ReadWriteWeb Resources What's Next on the Web: a ReadWriteWeb Toolkit for 2008 2008 Web Predictions 10 Future Web Trends 10 More Future Web Trends
Editor's Notes
- #2: As a premier tech blog, ReadWriteWeb’s goal is educating our readers about upcoming Web technologies, on a daily basis. We usually run 4-5 feature posts per week that analyze Web tech trends.