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vía Startup Professionals Musings de MartinZwilling el 15/05/09
What if your Google search for 'Paris Hilton' listed your top result as the Hilton Hotel in Paris, because it knew your interests were not in the other direction? This is the current dream of Tim Berners-Lee, the man who invented the (first) World Wide Web.
He calls it 'Web 3.0' or the 'Semantic Web,' meaning understanding context. He and many other experts believe that the Web 3.0 browser will act like a personal assistant. As you search the Web, the browser learns what you are interested in. The more you use the Web, the more your browser learns about you and the less specific you'll need to be with your questions.
Eventually you might be able to ask your browser open questions like "where should I take my wife for a good movie and dinner?" Your browser would consult its records of what you and she like and dislike, take into account your current location, and then suggest the right movies and restaurants. You can be the next Google, if you are the first to deliver this!
But some are skeptical about whether the Semantic Web - or at least, Berners-Lee's view of it - will actually take hold. They point to other technologies capable of reinventing the online world as we know it, from 3D virtual worlds to Web-connected bathroom mirrors. Web 3.0 could mean many things, and for 'netheads,' every single one is a breathtaking proposition.
The Semantic Web isn't really even a new idea. This notion of a Web where machines can better read, understand, and process all the data floating through cyberspace first surfaced in 2001, when a story appeared in Scientific American. The article describes a world in which software "agents" perform Web-based tasks we often struggle to complete on our own.
An early delivery example is the BlueOrganizer from AdaptiveBlue. If you visit a movie blog, for instance, and read about a particular film, it immediately links to sites where you can buy or rent that film. Web pages already contain semantic data, which is parsed and processed to find these links.
Other startups are thinking along these lines in fields all the way from clothes shopping, art galleries, online advertising, to managing press releases. In some ways, these aren't that different from the old Amazon.com "recommendation engine," which suggests new products based on your surfing and buying habits.
But we are a long way from agents that can do natural language processing and think on their own (artificial intelligence). A recent startup, Alitora Systems, provides software to enterprises based on a natural language processing (NLP) engine.
It extracts knowledge statements from unstructured documents - that's a particular challenge for the life sciences where high-value knowledge about things, such as the relationship between genetics and disease, lies hidden within journal articles, research papers, clinical trial data, FDA websites, and the like.
That's a good step, but extracting information from things such as Twitter feeds is a very different knowledge extraction problem. At the core it's still about unstructured data coming in, going through some degree of analysis, and knowledge coming out across a collaborative network.
Just think of the fertile ground all this opens for startups! If you're looking for that 'million dollar idea' to build a plan around, here is your chance. But don't wait too long, because the din for Web 3.0 is getting louder and louder. Catch the wave soon or it will pass you by!
Marty Zwilling
He calls it 'Web 3.0' or the 'Semantic Web,' meaning understanding context. He and many other experts believe that the Web 3.0 browser will act like a personal assistant. As you search the Web, the browser learns what you are interested in. The more you use the Web, the more your browser learns about you and the less specific you'll need to be with your questions.
Eventually you might be able to ask your browser open questions like "where should I take my wife for a good movie and dinner?" Your browser would consult its records of what you and she like and dislike, take into account your current location, and then suggest the right movies and restaurants. You can be the next Google, if you are the first to deliver this!
But some are skeptical about whether the Semantic Web - or at least, Berners-Lee's view of it - will actually take hold. They point to other technologies capable of reinventing the online world as we know it, from 3D virtual worlds to Web-connected bathroom mirrors. Web 3.0 could mean many things, and for 'netheads,' every single one is a breathtaking proposition.
The Semantic Web isn't really even a new idea. This notion of a Web where machines can better read, understand, and process all the data floating through cyberspace first surfaced in 2001, when a story appeared in Scientific American. The article describes a world in which software "agents" perform Web-based tasks we often struggle to complete on our own.
An early delivery example is the BlueOrganizer from AdaptiveBlue. If you visit a movie blog, for instance, and read about a particular film, it immediately links to sites where you can buy or rent that film. Web pages already contain semantic data, which is parsed and processed to find these links.
Other startups are thinking along these lines in fields all the way from clothes shopping, art galleries, online advertising, to managing press releases. In some ways, these aren't that different from the old Amazon.com "recommendation engine," which suggests new products based on your surfing and buying habits.
But we are a long way from agents that can do natural language processing and think on their own (artificial intelligence). A recent startup, Alitora Systems, provides software to enterprises based on a natural language processing (NLP) engine.
It extracts knowledge statements from unstructured documents - that's a particular challenge for the life sciences where high-value knowledge about things, such as the relationship between genetics and disease, lies hidden within journal articles, research papers, clinical trial data, FDA websites, and the like.
That's a good step, but extracting information from things such as Twitter feeds is a very different knowledge extraction problem. At the core it's still about unstructured data coming in, going through some degree of analysis, and knowledge coming out across a collaborative network.
Just think of the fertile ground all this opens for startups! If you're looking for that 'million dollar idea' to build a plan around, here is your chance. But don't wait too long, because the din for Web 3.0 is getting louder and louder. Catch the wave soon or it will pass you by!
Marty Zwilling
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