By Christopher Walton
This hugely topical textual content considers the development of the following new release of the net, referred to as the Semantic internet. it will permit desktops to instantly devour 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 classification of knowledge-based functions that would intelligently make the most of internet content.
The textual content is based into 3 major sections on wisdom illustration recommendations, reasoning with multi-agent structures, and information prone. 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. various small programming examples are given, which show how the advantages of the Semantic net applied sciences may be discovered this present day. the most theoretical effects underlying all of the applied sciences are awarded, and the most difficulties and learn concerns 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, computing device technology, synthetic Intelligence, and good judgment and researchers drawn to Multi-Agent platforms and the Semantic net
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Extra resources for Agency and the Semantic Web
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. 2. To deﬁne a complete RDF document, we encompass a list of rdf:Description elements by an enclosing rdf:RDF element. 3 An RDF document. 1 Resource description framework We also deﬁne two namespaces: xmlns:rdf (line 2), which is the main RDF namespace, and xmlns:camera (line 3), which references an external RDF document that deﬁnes the key concepts relating to cameras.
It is principally a language for deﬁning a vocabulary of terms that can be used in constructing RDF statements. It is important to realize that RDFS does not itself deﬁne the vocabulary, as this will be speciﬁc to the kind of knowledge that we deﬁne. Instead, RDFS provides us with the means to deﬁne our own vocabulary. By restricting ourselves to a particular vocabulary, rather than arbitrary terms, we impose structure on the RDF knowledge base. RDFS can be considered a type system for RDF documents.
Fischetti. Weaving the Web. Harper, 1999. 3. T. Berners-Lee, J. Hendler, and O. Lassila. The Semantic Web. Scientiﬁc American, May 2001. 4. J. Davies. Towards the Semantic Web: Ontology-Driven Knowledge Management. Wiley, 2003. 5. D. Fensel. Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce. Springer-Verlag, 2001. 6. D. Fensel, J. Hendler, H. Lieberman, and W. Wahlster. Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential. MIT Press, 2003. 7. A.