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Venuto: Semantic Magic-Infusing Web Content With Meaning :: MinOnline
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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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What is Web 3.0? Semantic Web & other Web 3.0 Concepts Explained in Plain English
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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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Web 3.0 - Features by PC Magazine
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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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OpenAmplify Releases 'TopicIntentions' Feature to Predict Consumer Intent on the Social Web
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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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The Semantic Web | ZDNet.com
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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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SemanticWeb - Semantics Help Sort Out Where Tax Dollars are Going
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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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The Semantic Web: Scientific American
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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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Deliberate Ambiguity: Recap of "Don't Call it a Comeback: Semantic Technology and Search" at SES SJ 2009
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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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Bing - Researching With Bing Reference - Search Blog - Bing Community
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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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Moving Data.gov towards the Semantic Web | The Semantic Web | ZDNet.com
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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Bing Reference is the Semantic Web in Action | Sarah In Tampa | Channel 10
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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The Semantic Web: An Introduction
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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22 items | 3 visits
Links explaining whats next for the web and what part the semantic web will play in web 3.0
Updated on 2009-08-18
Created on 2009-08-18
Category: Computers & Internet
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