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Links explaining whats next for the web and what part the semantic web will play in web 3.0
Updated on Aug 18, 09
Created on Aug 18, 09
Category: Computers & Internet
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bam bam's List: Semantic
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Calais is an open source tool that does this automatic tagging. Tague also mentioned a project called OpenPublish, which combines Calais with Drupal to provide an open-source publishing platform in a box.
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The New York Times is also making moves in this space, announcing at the Semantic Technology Conference their intention to publish their index—a vocabulary of 500,000 tags that has been used to annotate all of their articles going back to 1851—in a form available to the Linked Data community.
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Web 1.0 - That Geocities & Hotmail era was all about read-only content and static HTML websites. People preferred navigating the web through link directories of Yahoo! and dmoz.
Web 2.0 - This is about user-generated content and the read-write web. People are consuming as well as contributing information through blogs or sites like Flickr, YouTube, Digg, etc. The line dividing a consumer and content publisher is increasingly getting blurred in the Web 2.0 era.
Web 3.0 - This will be about semantic web (or the meaning of data), personalization (e.g. iGoogle), intelligent search and behavioral advertising among other things.
If that sounds confusing, check out some of these excellent presentations that help you understand Web 3.0 in simple English. Each takes a different approach to explain Web 3.0 and the last presentation uses an example of a "postage stamp" to explain the "semantic web".
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To many, Web 3.0 is something called the Semantic Web, a term coined by Tim Berners-Lee, the man who invented the (first) World Wide Web. In essence, the Semantic Web is a place where machines can read Web pages much as we humans read them, a place where search engines and software agents can better troll the Net and find what we're looking for.
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Aug 17, 09
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Social media has created environments in which users can express how they feel, what they are thinking and planning. TopicIntentions was created to gather and analyze this data, so that marketers can cost effectively identify users and indeed audiences who have expressed a specific intention to do something," said Mark Redgrave, CEO of OpenAmplify. "By identifying relevant commercial intentions in a rapid and highly scalable way, we are enabling marketers and publishers to deliver the right ads at the most appropriate moment to influence the user's action."
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Given the complex and varied nature of the data involved, and the obvious linkages between the entities (you and I, our communities, our schools, our hospitals) described in numerous different databases, there’s a clear opportunity for technologies and approaches from the Semantic Web community to play a significant role in simplifying the whole process of moving these legacy databases online.
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At Semanticgovernment.org, note that the corpus sources are listed on the left, and others may include at some point third-party corpus sources such as data from the Sunlight Foundation, a non-partisan non-profit dedicated to using the power of the Internet to catalyze greater government openness and transparency. Expert’s crawlers can grab new sources, and collect and build an index like any other enterprise tool that wants to acquire, index and search -- the difference being it does it semantically. It plans to keep current with the main government corpus sources on a daily basis.
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To date, the Web has developed most rapidly as a medium of documents for people rather than for data and information that can be processed automatically. The Semantic Web aims to make up for this.
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Nova Spivack of Twine started off by arguing that the Web is now too big for keyword search. He reasoned both that users need more tools to organize the millions of results they get back for a query and that they want to ask more complex questions of that data.
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Some queries will trigger a “Reference” Quick Tab in the Explore Pane. Click “Reference” and you will land on the best Wikipedia page for that query. Other queries that trigger the Reference vertical include Facebook, Sikhism, and squirrel monkey, to name a few.
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Aug 17, 09
Given the complex and varied nature of the data involved, and the obvious linkages between the entities (you and I, our communities, our schools, our hospitals) described in numerous different databases, there's a clear opportunity for technologies and approaches from the Semantic Web community to play a significant role in simplifying the whole process of moving these legacy databases online.
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Given the complex and varied nature of the data involved, and the obvious linkages between the entities (you and I, our communities, our schools, our hospitals) described in numerous different databases, there’s a clear opportunity for technologies and approaches from the Semantic Web community to play a significant role in simplifying the whole process of moving these legacy databases online.
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Aug 17, 09
hanks to Microsoft's acquisition of semantic search startup Powerset last year, the new "decision engine" Bing has access to semantically indexed Wikipedia content which is used to deliver special types of search results for faster answers
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hanks to Microsoft’s acquisition of semantic search startup Powerset last year, the new “decision engine” Bing has access to semantically indexed Wikipedia content which is used to deliver special types of search results for faster answers
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Aug 17, 09
Ambient Information and SEM\n\nThe scope of information was discussed a little, but let's take into consideration what it really means to have a "local" and a "global" system.\n\nIn general, there are small and large scale systems, and interactions between the two will most likely form a huge part of the transactions that occur on the Semantic Web. Let's define what we mean by large, medium, and small scale systems.\nLarge Scale\n\nAn example of a large scale system is two companies that are undergoing a merger needing to combine their databases. Another example would be search engines compiling results based upon a huge range of data. Large scale Semantic Web systems generally involve large databases, and heavy duty inference rules and processors are required to handle the databases.\nMedium Scale\n\nMedium scale Semantic Web systems attempt to make sense out of the larger scale Semantic Web systems, or are examples of small scale Semantic Web systems joined together. An example of the former is a company trying to partially understand two large scale invoice formats enough to use them together. An example of the latter is of two address book language groups trying to create a super-address book language.\nSmall Scale\n\nSmall scale Semantic Web systems are less widely discussed. By small scale Semantic Web systems, we mean languages that will be used primarily offline, or piles of data that will only be transferred with a limited scope, perhaps between friends, departments, or even two companies.\n\nSharing data on a local level is a very powerful example of how the Semantic Web can be useful in a myriad of situations. In the next section on evolution we shall be finding out how interactions between the different sized systems will form a key part of the Semantic Web.
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Ambient Information and SEM
The scope of information was discussed a little, but let's take into consideration what it really means to have a "local" and a "global" system.
In general, there are small and large scale systems, and interactions between the two will most likely form a huge part of the transactions that occur on the Semantic Web. Let's define what we mean by large, medium, and small scale systems.
Large Scale
An example of a large scale system is two companies that are undergoing a merger needing to combine their databases. Another example would be search engines compiling results based upon a huge range of data. Large scale Semantic Web systems generally involve large databases, and heavy duty inference rules and processors are required to handle the databases.
Medium Scale
Medium scale Semantic Web systems attempt to make sense out of the larger scale Semantic Web systems, or are examples of small scale Semantic Web systems joined together. An example of the former is a company trying to partially understand two large scale invoice formats enough to use them together. An example of the latter is of two address book language groups trying to create a super-address book language.
Small Scale
Small scale Semantic Web systems are less widely discussed. By small scale Semantic Web systems, we mean languages that will be used primarily offline, or piles of data that will only be transferred with a limited scope, perhaps between friends, departments, or even two companies.
Sharing data on a local level is a very powerful example of how the Semantic Web can be useful in a myriad of situations. In the next section on evolution we shall be finding out how interactions between the different sized systems will form a key part of the Semantic Web.
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