Web 3.0: How’s That Panning Out Then… Web Technology Trends for 2009 and Beyond Presented by: Richard MacManus, Founder & Editor, ReadWriteWeb

http://www.readwriteweb.com Daily coverage of Web Technology news, products & trends Other ReadWriteWeb properties: ReadWriteStart (profiling startups and entrepreneurs), ReadWriteHire (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, Marshall Kirkpatrick, Alex Iskold, Sarah Perez, Frederic Lardinois, Jolie O’Dell, Lidija Davis, Phil Glockner, Doug Coleman, Sean Ammirati

http://www.readwriteweb.com

Daily coverage of Web Technology news, products & trends

Other ReadWriteWeb properties: ReadWriteStart (profiling startups and entrepreneurs), ReadWriteHire (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, Marshall Kirkpatrick, Alex Iskold, Sarah Perez, Frederic Lardinois, Jolie O’Dell, Lidija Davis, Phil Glockner, Doug Coleman, Sean Ammirati

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

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

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 / Linked Data Filters / recommendations Personalization Beyond PC - mobile, IPTV, physical world integration

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 / Linked Data

Filters / recommendations

Personalization

Beyond PC - mobile, IPTV, physical world integration

Web 3.0? “ People keep asking what Web 3.0 is. I think maybe when you've got an overlay of scalable vector graphics […] on Web 2.0 and access to a semantic Web integrated across a huge space of data […]” Tim Berners-Lee , 2006 ” The Web of Openness . A web that breaks the old siloes, links everyone everything everywhere, and makes the whole thing potentially smarter .” Greg Boutin , May 2009 “ The Web 3.0 term misleads organizations by implying that a new version of the web is upon us.” Anthony Bradley , Gartner, April 2009

“ People keep asking what Web 3.0 is. I think maybe when you've got an overlay of scalable vector graphics […] on Web 2.0 and access to a semantic Web integrated across a huge space of data […]” Tim Berners-Lee , 2006

” The Web of Openness . A web that breaks the old siloes, links everyone everything everywhere, and makes the whole thing potentially smarter .” Greg Boutin , May 2009

“ The Web 3.0 term misleads organizations by implying that a new version of the web is upon us.” Anthony Bradley , Gartner, April 2009

Web 3.0 in a Nutshell Cartoon by Geek and Poke

Cartoon by

Geek and Poke

Web 3.0 or No, We’re Seeing Something New There is a difference in the products we're seeing in 2009 compared to the ones we saw at the height of 'Web 2.0' (2005-08). More products based on open, structured data e.g. Wolfram Alpha More real-time e.g. Twitter, OneRiot Better filters e.g. FriendFeed (and Facebook, which copies FF ) Open data, structured data, filtering content, real-time, personalization. These are all new or noticeable trends that we’re seeing on the 2009 Web.

There is a difference in the products we're seeing in 2009 compared to the ones we saw at the height of 'Web 2.0' (2005-08).

More products based on open, structured data e.g. Wolfram Alpha

More real-time e.g. Twitter, OneRiot

Better filters e.g. FriendFeed (and Facebook, which copies FF )

Open data, structured data, filtering content, real-time, personalization. These are all new or noticeable trends that we’re seeing on the 2009 Web.

Google Search Options & Rich Snippets Adding real-time search, structured data, & more to Google's core search. Options: when user clicks on 'Show options...', a sidebar displays options including multimedia, reviews and time-based views. Rich snippets: extract and show useful info from web pages; uses structured data open standards such as microformats and RDFa Google evolving more media and interaction on the Web in 2009 users are demanding real-time updates

Adding real-time search, structured data, & more to Google's core search.

Options: when user clicks on 'Show options...', a sidebar displays options including multimedia, reviews and time-based views.

Rich snippets: extract and show useful info from web pages; uses structured data open standards such as microformats and RDFa

Google evolving

more media and interaction on the Web in 2009

users are demanding real-time updates

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' Open Calais 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. Read more: The Web of Data: Creating Machine-Accessible Information ; Alexander Korth, ReadWriteWeb, April 2009

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' Open Calais 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.

Read more: The Web of Data: Creating Machine-Accessible Information ; Alexander Korth, ReadWriteWeb, April 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 ; ReadWriteWeb, May 2009

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 ; ReadWriteWeb, May 2009