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François Dongier

How Google Buzz is Disruptive: Open Data Standards - 0 views

  • Under the covers, though, this major product was built by a team of people taking a radical new approach to online publishing: Buzz is all about open, standardized user data.
  • Google Buzz data can be syndicated out to other services using the standard data formats called Atom, Activity Streams, MediaRSS and PubSubHubbub.
  • a look at its APIs and developer roadmap indicate that it may actually intend to be a platform - the central hub for a world of distributed social networking.
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  • if the growing number of data portability and open web advocates the company has hired can do their jobs well - then Google Buzz could be a big force for good.
  • People will build services on top of analyzing your public Buzz activity. They will build new applications for publishing to Buzz,
  • Planned support for things like the Salmon commenting standard mean that comments left on Buzz could appear out on blog posts around the web, and comments on blog posts could be viewed inside of Buzz when the post links are shared.
  • a cross-platform messaging service. Facebook users can only message other Facebook users
  • Is Google centralizing too much of the decision making about the future of an ostensibly decentralized web?
  • "Comin soon - Over the next several months Google Buzz will introduce an API for developers, including full/read write support for posts with the Atom Publishing Protocol, rich activity notification with Activity Streams, delegated authorization with OAuth, federated comments and activities with Salmon, distributed profile and contact information with WebFinger, and much, much more."
  • It would have been disruptive if google had pushed W3C standards for sharing data (Semantic web technologies, LinkedData, ...). But does Google really want to push semantic web technologies, making the web easier to search ?
François Dongier

Google Prediction API - Google Code - 0 views

  • What is the Google Prediction API? The Prediction API enables access to Google's machine learning algorithms to analyze your historic data and predict likely future outcomes. Upload your data to Google Storage for Developers, then use the Prediction API to make real-time decisions in your applications. The Prediction API implements supervised learning algorithms as a RESTful web service to let you leverage patterns in your data, providing more relevant information to your users. Run your predictions on Google's infrastructure and scale effortlessly as your data grows in size and complexity.
François Dongier

Social Graph API - Google Code - 0 views

  • makes information about public connections between people easily available and useful.
  • The API returns web addresses of public pages and publicly declared connections between them. The API cannot access non-public information, such as private profile pages or websites accessible to a limited group of friends.
  • We currently index the public Web for XHTML Friends Network (XFN), Friend of a Friend (FOAF) markup and other publicly declared connections. By supporting open Web standards for describing connections between people, web sites can add to the social infrastructure of the web.
François Dongier

10 Ways to Use OpenCalais Today | OpenCalais - 0 views

  • What Does Calais Do?
  • It analyzes text you send it and extracts entities (people, organizations, geographies, etc.). In many cases, it links those entities to the world of Linked Data. It extracts facts – like the fact that John Doe is the CEO of Acme Corporation or such. It extracts events – like mergers, earning announcements, natural disasters and a bunch of others. It attaches a topic to the text as a whole, much like a newspaper would (Sports, Finance, Health, etc.). It creates SocialTags – our attempt to “tag” the article a way a human would to file it away somewhere.
  • it’s free for up to 50,000 submissions per day for commercial or non-commercial purposes
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  • Content Enhancement — There’s a whole world of Linked Data out there and OpenCalais can be your entry point. For example – take in press releases, and extract the companies mentioned in them. Use OpenCalais’ Linked Data entry points to get the SIC codes and the link to DBPedia. Access DBPedia and enhance your content with other information about the company like locations, people, products. Access Geonames to figure out what region the company is located in. Take that enhanced content and do cool things (like triage and workflow and presentation) with it.
  • Alerting — Give users the ability to be alerted when certain types of content becomes available. Unlike simple keyword alerting with OpenCalais + Linked Data you can construct alerts like, “Tell me when there is M&A activity for a company in the Steel industry.”
  • Automated News Portals — Want to create a general purpose news portal? Or maybe one that deals only with baseball news? Great. Subscribe to and/or acquire some content sources, and feed them through OpenCalais. Then use the metadata to throw away what you don’t care about and to organize the rest by topic, geography, person – whatever. A great example of an off-the-shelf solution that does this is OpenPublish.
  • Finer-Grained / Higher-Value Syndication — Do you have content consumers via RSS or other syndication methods? Give them a better experience by allowing them to create their own channels based on OpenCalais metadata. Create channels based on region, types of events, companies, etc. – or any combination of those and other items.
  • SEO — Something we get asked about all the time – we know people are experimenting – but they’re not being very public about their experimentation. Here’s a simple idea though: make your content more search friendly. Two routes: One easy, one a little harder. Route 1: Translate events into human readable text and get it on your page. Have a complicated article about an LBO of company x by people y? OpenCalais will identify an M&A event. Take that event and turn it into a tag like “Acquisitions” – something people might actually search for. Don’t just use it as a metatag – incorporate into the page via navigation or whatever so Google pays attention. Route 2: Use linked data to enhance your content. If you’re talking about a company or geography use OpenCalais Linked Data to enhance the page with additional information from Dbpedia, Geonames, CIA world fact book or a bunch of other sources.
François Dongier

Taking Search -- And Meaning -- Beyond English - Semantic Web - 0 views

  • Multi-lingual text analytics vendor Basis Technology Corp., which develops the Rosette linguistics platform
  • The company this week released Rosette 7, the latest version of its software, which is used in major web and enterprise search engines, from Google to Bing to Oracle software. The product supports 55 languages for language identification, and if you count different encodings that grows to over 100 languages and encoding pairs. For base linguistics for search engine enablement it supports 20 languages, depending on how you count them.
  • Another major feature in Rosette 7 is name matching and name translation, a problem the company has been working on for more than five years with the result that this is the first time name translation and searching are integrated into the Rosette platform’s same core set of APIs.
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  • The latest version also now supports Lucene-based applications, so any organization using the open source search toolkits can get the same advanced linguistic processing used by high end web and enterprise search engines.
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