Agency and the Semantic Web by Christopher Walton

By Christopher Walton

This hugely topical textual content considers the development of the subsequent new release of the internet, known as the Semantic internet. this can permit pcs to instantly devour Web-based info, overcoming the human-centric concentration of the net because it stands at this time, and expediting the development of a complete new category of knowledge-based functions that might intelligently make the most of internet content.

The textual content is established into 3 major sections on wisdom illustration suggestions, reasoning with multi-agent structures, and data providers. for every of those themes, the textual content offers an outline of the cutting-edge options and the preferred criteria which have been outlined. a number of small programming examples are given, which exhibit how the advantages of the Semantic internet applied sciences may be discovered this day. the most theoretical effects underlying all the applied sciences are provided, and the most difficulties and examine concerns which stay are summarized.
Based on a path on 'Multi-Agent structures and the Semantic net' taught on the college of Edinburgh, this article is perfect for final-year undergraduate and graduate scholars in arithmetic, desktop technology, synthetic Intelligence, and good judgment and researchers attracted to Multi-Agent structures and the Semantic Web.

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E. predicates with two arguments. g. a camera is constructed from a body and a lens. The intuitive way to represent this statement in the tertiary predicate 23 24 2 : Web knowledge constr uct(Camera, Body, Lens). To represent this in RDF we must decompose into the binary predicates: constr uct(X, Camera), compose(X, Body), and compose(X, Lens). In general, such a decomposition will always be possible, thus a little tedious. As we see in the following section, RDF contains some additional syntactic sugar that simplifies the representation of n-ary predicates.

In keeping with the object-oriented model, RDFS is structured around the notion of a class hierarchy. A class is a type of thing that we want to represent, and the hierarchy defines the relationships between the different classes. 7 is an example hierarchy taken from the camera ontology that we defined in Chapter 1. An object in RDFS is considered to be an RDF resource. An object that belongs to a particular class is referred to as an instance of the class. We define an object as an instance by assigning the type of a class to the object.

Many aspects of distributed processing and communication on the Web. The appeal of web services over other interoperability standards, such as CORBA, is the simplicity and flexibility of the architecture. At the core of this technique there are just two XML-based standards that define the web services architecture: web services are specified in the Web Service Description Language (WSDL), and communication between web services is defined by the Simple Object Access Protocol (SOAP). The use of a web services architecture is an important step towards the construction of a computer-processable Web.

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