Agency and the Semantic Web by Christopher Walton

By Christopher Walton

This hugely topical textual content considers the development of the following new release of the internet, known as the Semantic internet. this can permit desktops to instantly devour Web-based details, overcoming the human-centric concentration of the net because it stands at the present, and expediting the development of a complete new type of knowledge-based functions that may intelligently make the most of internet content.

The textual content is based into 3 major sections on wisdom illustration strategies, reasoning with multi-agent platforms, and information providers. for every of those issues, the textual content offers an outline of the state of the art innovations and the preferred criteria which were outlined. a variety of small programming examples are given, which display how the advantages of the Semantic net applied sciences might be learned this present day. the most theoretical effects underlying all of the applied sciences are offered, 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 collage of Edinburgh, this article is perfect for final-year undergraduate and graduate scholars in arithmetic, machine technological know-how, man made Intelligence, and good judgment and researchers drawn to Multi-Agent structures and the Semantic Web.

Show description

Read or Download Agency and the Semantic Web PDF

Similar intelligence & semantics books

Information Modelling and Knowledge Bases XIX

Within the final many years details modelling and data bases became sizzling subject matters not just in educational groups on the topic of details structures and machine technology, but in addition in enterprise components the place info expertise is utilized. This ebook comprises papers submitted to the seventeenth European-Japanese convention on details Modelling and data Bases (EJC 2007).

Indistinguishability Operators: Modelling Fuzzy Equalities and Fuzzy Equivalence Relations

Indistinguishability operators are crucial instruments in fuzzy common sense considering they fuzzify the innovations of equivalence relation and crisp equality. This publication collects the entire major features of those operators in one quantity for the 1st time. the strain is wear the learn in their constitution and the monograph begins providing the various ways that indistinguishability operators may be generated and represented.

The Turing Test and the Frame Problem: Ai's Mistaken Understanding of Intelligence

Either the Turing try and the body challenge were major goods of debate because the Nineteen Seventies within the philosophy of synthetic intelligence (AI) and the philisophy of brain. despite the fact that, there was little attempt in the course of that point to distill how the body challenge bears at the Turing attempt. If it proves to not be solvable, then not just will the attempt no longer be handed, however it will name into query the belief of classical AI that intelligence is the manipluation of formal constituens lower than the keep an eye on of a application.

Extra info for Agency and the Semantic Web

Example text

G. ‘Digital Back’ is a subclass of ‘Back Type’. g. we can also say that ‘Back Type’ is a superclass of ‘Digital Back’. 7 Example class hierarchy. object-oriented languages, the classes together do not need to form a strict tree-like hierarchy, and a class can have multiple superclasses. The subclass relation implies that one class is more specialized than another. For example, ‘35 mm Back’ is a more specialized kind of ‘Film Back’. This specialization is captured by the subclass relation in RDF through inheritance.

It will often be perfectly acceptable to define a knowledge base that contains additional properties or classes outwith the schema, or that violates certain constraints. This is due to the flexible nature of Semantic Web knowledge, which will often undergo rapid change. 2 An RDF syntax for RDF schema RDFS gives us the ability to define a vocabulary for RDF documents. This vocabulary is a simple kind of ontology, which provides structure to the knowledge defined in RDF. As we have shown, there are two main kinds of definitions that are found in the vocabulary.

9. g. rdfs:Class. To create an instance of a class in RDF, we define a statement with the class name as the type of an RDF resource. Once again we can use the abbreviated syntax to make things clearer. For example, in the following RDF fragment we state that NikonCorporation is an instance of the Manufacturer class. This definition would typically appear in a separate document from the schema. In our discussion of RDFS, we stated that the properties are defined separately from the class hierarchy.

Download PDF sample

Rated 4.56 of 5 – based on 34 votes