By Christopher Walton
This hugely topical textual content considers the development of the following new release of the net, referred to as the Semantic net. it will let desktops to immediately devour Web-based details, overcoming the human-centric concentration of the internet because it stands at the present, and expediting the development of a complete new type of knowledge-based purposes that may intelligently make the most of net content.
The textual content is based into 3 major sections on wisdom illustration ideas, reasoning with multi-agent platforms, and data providers. for every of those themes, the textual content offers an outline of the state of the art recommendations and the preferred criteria which have been outlined. a number of small programming examples are given, which exhibit how some great benefits of the Semantic internet applied sciences could be learned this day. the most theoretical effects underlying all the applied sciences are awarded, and the most difficulties and examine matters which stay are summarized.
Based on a direction on 'Multi-Agent platforms and the Semantic net' taught on the college of Edinburgh, this article is perfect for final-year undergraduate and graduate scholars in arithmetic, laptop technological know-how, man made Intelligence, and common sense and researchers attracted to Multi-Agent platforms and the Semantic Web.
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Additional resources for Agency and the Semantic Web
3. In XML, namespaces are only used as a shorthand notation to avoid ambiguity. However, in RDF, the external namespace deﬁnitions are assumed to refer to real RDF documents, which deﬁne resources that we can use. When we deﬁne an RDF document that uses an external namespace, we are essentially constructing a knowledge base that reuses and extends this external knowledge with our own deﬁnitions. In this way, RDF constructs a ‘web of knowledge’, linking together external knowledge into larger knowledge bases.
The triple is deﬁned by a single rdf:Description element. The subject of the triple is deﬁned by the rdf:about attribute. The element that appears inside is a property–value pair, which corresponds to the predicate and object of the triple. The predicate is identiﬁed by the name of the element camera:hasBody, and the object SLR appears inside the element. 3, which illustrates all of the necessary parts that make up a basic RDF document. The line numbers in this example are purely for reference and would not appear in the document.
To perform reiﬁcation, we need to be able to treat a whole statement as a resource with an identiﬁer, without actually deﬁning the statement. To accomplish this, RDF provides a reiﬁcation mechanism that expresses a statement as a resource. The following example expresses the statement ‘Photomart says that the D70 is manufactured by Nikon’. Note that we deﬁne an rdf:Statement rather than a description. We explicitly deﬁne the subject, predicate, and object that we are talking about. 6. 6 RDF reiﬁcation.