By Christopher Walton
This hugely topical textual content considers the development of the following new release of the internet, known as the Semantic net. this can permit desktops to immediately 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 purposes that might intelligently make the most of net content.
The textual content is dependent into 3 major sections on wisdom illustration options, reasoning with multi-agent structures, and information providers. for every of those subject matters, the textual content offers an summary of the cutting-edge thoughts and the preferred criteria which were outlined. a number of small programming examples are given, which show how some great benefits of the Semantic net applied sciences could be learned today. the most theoretical effects underlying all the applied sciences are awarded, and the most difficulties and learn concerns which stay are summarized.
Based on a direction on 'Multi-Agent structures and the Semantic internet' taught on the college of Edinburgh, this article is perfect for final-year undergraduate and graduate scholars in arithmetic, computing device technology, man made Intelligence, and common sense and researchers drawn to Multi-Agent structures and the Semantic Web.
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Additional resources for Agency and the Semantic Web
Propose. g. prefer. Speech acts are a popular basis for deﬁning communication between agents in MASs. In this approach, the inter-agent communication is performed by exchanging messages containing performatives. Each message 11 12 1 : The Semantic Web has an associated performative that expresses the intended meaning of the message. To ensure compatibility between different agents, a number of standard Agent Communication Languages (ACLs) have been deﬁned. These languages deﬁne a common set of performatives, and their precise meanings.
As we have stated previously, RDFS is deﬁned using the same syntax as RDF. This is not altogether surprising, as it should be evident from our discussion that RDFS is simply describing a network (of classes and properties), and RDF is a language for specifying networks. All of the deﬁnitions in an RDFS vocabulary can be readily represented in RDF, using a set of predeﬁned resources with speciﬁc meanings. We now describe the XML-speciﬁc features of the representation of RDFS in RDF. The basic representation of the class hierarchy uses the RDFS resources rdfs:Class and rdfs:Resource, and the rdf:type and rdfs:subClassOf properties.
Van Harmelen. A Semantic Web Primer. MIT Press, 2004. 2. T. Berners-Lee and M. 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.