Google Announces Support for Microformats and RDFa - O'Reilly Radar
http://radar.oreilly.com/2009/05/google-announces-support-for-m.html

Good news for microformats, support of google can make a large difference

Google Announces Support for Microformats and RDFa - O'Reilly Radar Google Announces Support for Microformats and RDFaby Timothy M. O'Brien| comments: 8On Tuesday, Google introduced a feature called Rich Snippets which provides users with a convenient summary of a ... はてなブックマーク - Google Announces Support for Microformats and RDFa - O'Reilly Radar はてなブックマークに追加 dann dann rdf

Breakdown on Google Microformats

An explanation of RDFa and the impending Google support for the markup.

Now, time for some Q&A with the team: If I mark up my pages, does that guarantee I'll get Rich Snippets? No. We will be rolling this out gradually, and as always we will use our own algorithms and policies to determine relevant snippets for users' queries. We will use structured data when we are able to determine that it helps users find answers sooner. And because you're providing the data on your pages, you should anticipate that other websites and other tools (browsers, phones) might use this data as well. You can let us know that you're interested in participating by filling out this form. What about other existing microformats? Will you support other types of information besides reviews and people? Not every microformat corresponds to data that's useful to show in a search result, but we do plan to support more of the existing microformats and define RDFa equivalents. What's next?

The Web of Data: Creating Machine-Accessible Information In the coming years, we will see a revolution in the ability of machines to access, process, and apply information. This revolution will emerge from three distinct areas of activity connected to the Semantic Web: the Web of Data, the Web of Services, and the Web of Identity providers. These webs aim to make semantic knowledge of data accessible, semantic services available and connectable, and semantic knowledge of individuals processable, respectively. In this post, we will look at the first of these Webs (of Data) and see how making information accessible to machines will transform how we find information. The amount of information and services available is growing exponentially. Every day, it is getting harder to find the information we are actually looking for. Still, we have to learn how to tell machines what we want. Why can't a machine understand which website, recent tweet, Flickr photo, Facebook message, or restaurant

Notes from Tim Berners-Lee

מספר על המצאת חייו WWW- ממציא ה

First of a 2 Part interview between McManus of RWW and Berns-Lee director of W3C and father of the Internet

4store was designed by Steve Harris and developed at Garlik to underpin their Semantic Web applications

4store is a fast, scalable clustered RDF database

4store is an efficient, scalable and stable RDF database

4store, an efficient, scalable and stable RDF database 4store was designed by Steve Harris and developed at Garlik to underpin their Semantic Web applications. It has been providing the base platform for around 3 years. At times holding and running queries over databases of 15GT, supporting a Web application used by thousands of people.

"4store was designed by Steve Harris and developed at Garlik to underpin their Semantic Web applications. It has been providing the base platform for around 3 years. At times holding and running queries over databases of 15GT, supporting a Web application used by thousands of people."

While Sig.ma is by no mean the first data aggregator for the Semantic Web, its contribution is to show that the sum is really bigger than the single parts and exciting possibilities lie in a holistic approach for automatic semistructured data discovery and consolidation

Live, embeddable information summaries from sites which use RDF, RDFa or Microformats. Use it in your Blog, Tweets or as an API

"Relational database management systems (DBMSs) have been remarkably successful in capturing the DBMS marketplace. To a first approximation they are “the only game in town,” and the major vendors (IBM, Oracle, and Microsoft) enjoy an overwhelming market share. They are selling “one size fits all”; i.e., a single relational engine appropriate for all DBMS needs. Moreover, the code line from all of the major vendors is quite elderly, in all cases dating from the 1980s. Hence, the major vendors sell software that is a quarter century old, and has been extended and morphed to meet today’s needs. In my opinion, these legacy systems are at the end of their useful life. They deserve to be sent to the “home for tired software.” Here’s why."

For the last 150 years, The New York Times has maintained one of the most authoritative news vocabularies ever developed. In 2009, we began to publish this vocabulary as linked open data. The Data The New York Times has published 5,000 people subject headings as linked open data under a CC BY license. We provide both RDF documents and a human-friendly HTML versions.

People subject headings for New York Times

data.nytimes.com For the last 150 years, The New York Times has maintained one of the most authoritative news vocabularies ever developed. In 2009, we began to publish this vocabulary as linked open data. The Data The New York Times has published 5,000 people subject headings as linked open data under a CC BY license. We provide both RDF documents and a human-friendly HTML versions.

The New York Times has published 5,000 people subject headings as linked open data under a CC BY license. We provide both RDF documents and a human-friendly HTML versions.

data.nytimes.com For the last 150 years, The New York Times has maintained one of the most authoritative news vocabularies ever developed. In 2009, we began to publish this vocabulary as linked open data. The Data The New York Times has published 5,000 people subject headings as linked open data under a CC BY license. We provide both RDF documents and a human-friendly HTML versions.

To enable the citizen masher to do their wizardry, the administration will be opening up a veritable candy store of goodies: Semantic Web, RDF, Linked Data, SPARQL, RDFa, SIOC, ATOM, RESTful APIs, JSON, Widgets, Wikis, XForms, P2P Networks. Wow. They only forgot the lions and tigers and bears oh my… This is an unbelievable stack of technology. I didn’t think the government even knew what an RSS feed was :)

HyperGraphDB is a general purpose, extensible, portable, distributed, embeddable, open-source data storage mechanism. It is a graph database designed specifically for artificial intelligence and semantic web projects, it can also be used as an embedded object-oriented database for projects of all sizes.

The project aims to help make content as discoverable and connected as could reasonably be assumed. The creators also hope to make content more engaging. When a web app can determine what a piece of content is actually about, the UX improves exponentially. The website gives the example of a developer creating an app that uses an article about the most recent Star Trek movie and lets users purchase tickets on the same page. The site reads, "Since both the publisher and ticket service use Common Tag, the application is able to easily make the connection without having to guess at what the content of the two services is about." Tags are expressed using RDFa, a standard format for defining data in HTML.

Reading: Common Tag Brings Standards to Metadata http://bit.ly/rhshF [from http://twitter.com/sandroalberti/statuses/2157913493]

The Open Graph protocol enables you to integrate your web pages into the social graph. It is currently designed for web pages representing profiles of real-world things — things like movies, sports teams, celebrities, and restaurants. Once your pages become objects in the graph, users can establish connections to your pages as they do with Facebook Pages. Based on the structured data you provide via the Open Graph protocol, your pages show up richly across Facebook: in user profiles, within search results and in News Feed.

"an open data cleansing tool"

Freebase Gridworks is a power tool that allows you to load data, understand it, clean it up, reconcile it internally, augment it with data coming from Freebase, and optionally contribute your data to Freebase for others to use. All in the comfort and privacy of your own computer.

Ace post on how the BBC were using data to build their World Cup site.

BBC World Cup 2010 dynamic semantic publishing Post categories: World Cup, linked data, metadata, semantic, semantic web, web publishing