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 allow pcs to immediately eat 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 category 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 concepts, reasoning with multi-agent platforms, and data providers. for every of those issues, the textual content presents an outline of the cutting-edge ideas and the preferred criteria which were outlined. a number of small programming examples are given, which show how the advantages of the Semantic internet applied sciences should be discovered this present day. the most theoretical effects underlying all of the applied sciences are provided, and the most difficulties and learn concerns which stay are summarized.
Based on a path 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, laptop technological know-how, synthetic Intelligence, and common sense and researchers attracted to Multi-Agent structures and the Semantic Web.
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Researchers in components equivalent to man made intelligence, formal and computational linguistics, biomedical informatics, conceptual modeling, wisdom engineering and data retrieval have come to achieve reliable beginning for his or her study demands severe paintings in ontology, understood as a basic thought of the kinds of entities and family that make up their respective domain names of inquiry.
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Additional resources for Agency and the Semantic Web
RDF documents can also be directly placed in an RDF store, such as 3Store or Jena, which facilitates the ordered retrieval of the knowledge through queries, similar to a database system. We discuss RDF queries in more detail in Chapter 5. It should be apparent that we can build large collections of data from RDF documents. However, up to now we have been deliberately loose in discussing how this knowledge should be structured. For example, the RDF triples that we presented used predicates such as camera:hasType and camera:subTypeOf without any discussion of their deﬁnition.
The composition of knowledge services into Semantic Web applications is intended to be an on-the-ﬂy process, which is performed dynamically by the agents performing the computation. If an agent needs a particular service to achieve one of its intentions, then this service will be composed by the agent into the application. However, this dynamic composition of services is a non-trivial task that is still being addressed by AI research. There are three main problems that must be solved, namely discovery, invocation, and composition.
Towards Principles for the Design of Ontologies Used for Knowledge Sharing. Kluwer, 1993. 9. J. Hendler. Is There an Intelligent Agent in Your Future? Nature—Web Matters, (3), March 1999. 10. J. Hendler. Agents on the Web. IEEE Intelligent Systems, 16(2): 30–7, March 2001. 11. G. Schreiber, H. Akkermans, A. Anjewierden, R. de Hoog, N. Shadbolt, W. Van de Velde, and B. Wielinga. Knowledge Engineering and Management: The CommonKADS Methodology. MIT Press, 1999. 12. K. Sycara and M. Paolucci. Ontologies in Agent Architectures.
Agency and the Semantic Web by Christopher Walton