By Christopher Walton
This hugely topical textual content considers the development of the subsequent new release of the net, referred to as the Semantic net. this may let pcs to immediately eat Web-based info, overcoming the human-centric concentration of the internet because it stands at this time, and expediting the development of a complete new type of knowledge-based purposes that may intelligently make the most of internet content.
The textual content is based into 3 major sections on wisdom illustration options, reasoning with multi-agent platforms, and data providers. for every of those subject matters, the textual content offers an summary of the cutting-edge innovations and the preferred criteria which have been outlined. various small programming examples are given, which show how some great benefits of the Semantic internet applied sciences will be discovered this present day. the most theoretical effects underlying all the applied sciences are awarded, and the most difficulties and learn matters which stay are summarized.
Based on a direction on 'Multi-Agent structures and the Semantic internet' taught on the collage of Edinburgh, this article is perfect for final-year undergraduate and graduate scholars in arithmetic, desktop technological know-how, synthetic Intelligence, and good judgment and researchers attracted to Multi-Agent structures and the Semantic Web.
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This hugely topical textual content considers the development of the following new release of the internet, known as the Semantic internet. it will permit desktops to instantly eat Web-based details, overcoming the human-centric concentration of the internet because it stands at this time, and expediting the development of an entire new type of knowledge-based purposes that may intelligently make the most of web pages.
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Extra info for Agency and the Semantic Web
G. the root of the RDF class hierarchy is the rdfs:Resource class. A number of additional RDFS properties are used in these deﬁnition documents, primarily to make them more human-readable. The rdfs:comment property provides a description of a resource, and the rdfs:label property provides an alternative (informal) labelling scheme. g. in a text document. 3 The web ontology language The RDFS approach to deﬁning RDF vocabularies is limited in expressibility. This was a deliberate choice in the design of RDFS, as it is intended to be a simple language that is easily understood.
This makes the language easy to understand for anyone familiar with this style of deﬁnition, though there are some important differences that we highlight. However, RDFS is missing many features that would be desirable for a complete ontology description language. As a result, these deﬁciencies have subsequently been addressed in the Web Ontology Language (OWL) described later in the chapter, which is (loosely) deﬁned as an extension of RDFS. Nonetheless, RDFS is still useful for performing certain kinds of inference.
RDF statements are closely related to statements in natural language. Our example statement is equivalent to the English-language statement ‘A Nikon D70 has a body type SLR’. As RDF is intended for automated processing, it does not permit arbitrary statements, but instead ﬁxes the structure of the statements so that all RDF statements have the same form. RDF takes a logical view of statements, where each statement has a subject, followed by a predicate, and ﬁnally an object. The subject is the thing that the statement is about, the predicate describes the property that the statement speciﬁes, and the object is the value of the property.