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A meaningful Web for humans and machines, Part 1: How humans can share the wealth of the Web
In this series of articles you'll examine the existing and emerging technologies that enable machines and humans to easily access the wealth of Web-published data. You'll look at the need for techniques that derive the human and machine-friendly data from a single Web page. Using examples, you will explore the relationships between the different techniques and will evaluate the benefits and drawbacks of each approach. The series will examine, in detail: a parallel Web of data representations, algorithmic approaches to generating machine-readable data, microformats, GRDDL, embedded RDF, and RDFa. This first article introduces the human-computer "conflict," describes the criteria used to evaluate different technologies, and provides a brief description of the major techniques used today to enable machine-human coexistence on the Web. 		Articles 24 Oct 2006  
 
A meaningful Web for humans and machines, Part 2: Explore the parallel Web
In this series of articles, we present a thorough, example-filled examination of the existing and emerging technologies that enable machines and humans to easily access the wealth of Web-published data. In this article, we examine the concept of the parallel Web and look at two techniques that Web content publishers use to put both human-readable and machine-consumable content on the Web: the HTML link element and HTTP content negotiation. With these two techniques, content consumers can choose among a variety of different formats of the data on a Web page. Review the history of the techniques and how they are currently deployed on the Web, and how you might use the parallel Web to integrate calendar, banking, and photo data within an example scenario, MissMASH. Finally, we evaluate the parallel Web and determine that, while these techniques are mature and widely deployed, there are disadvantages to separating machine-readable data from the corresponding human-readable content. 		Articles 17 Jan 2007  
 
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