By Christopher Walton
This hugely topical textual content considers the development of the following iteration of the internet, referred to as the Semantic net. it will let pcs to instantly devour Web-based info, overcoming the human-centric concentration of the net because it stands at the present, and expediting the development of a complete new classification of knowledge-based purposes that would intelligently make the most of internet content.
The textual content is dependent into 3 major sections on wisdom illustration innovations, reasoning with multi-agent platforms, and data providers. for every of those subject matters, the textual content offers an outline of the cutting-edge recommendations and the preferred criteria which have been outlined. a number of small programming examples are given, which show how some great benefits of the Semantic net applied sciences will be discovered today. 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 path on 'Multi-Agent platforms and the Semantic net' taught on the collage of Edinburgh, this article is perfect for final-year undergraduate and graduate scholars in arithmetic, laptop technological know-how, synthetic Intelligence, and good judgment and researchers attracted to Multi-Agent platforms and the Semantic net
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Extra resources for Agency and the Semantic Web
The agent can then be let loose onto the Web and will attempt to ﬁnd this information for us by utilizing a variety of knowledge sources, and performing inference on this knowledge. The Semantic Web vision goes beyond the notion of agents acting in isolation, and views the agents acting together as a society. In a society, the individual agents interact closely and assume group behaviours such as cooperating, coordinating, negotiating, and so on. This is a common view of agency and is based on the idea of agents interacting in much the same way as humans interact on a daily basis.
10, and assigned to the camera namespace. The RDF document is primarily an instance of the CameraType class, called CanonEOS300D (lines 10–22). We also deﬁne instances of the Manufacturer class (line 8) and the ModelType class (line 9) in order to satisfy the properties. 10. We have now described all of the main features of the RDFS language. At this point, it is a useful exercise to examine the RDF and RDFS deﬁnitions that we have been including in our documents. org/2000/01/rdf-schema These documents provide a good exemplar of the use of the RDFS language.
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.