Read e-book online Intelligence-Based Systems Engineering PDF

By Andreas Tolk, Kevin MacG. Adams (auth.), Andreas Tolk, Lakhmi C. Jain (eds.)

ISBN-10: 3642179304

ISBN-13: 9783642179303

ISBN-10: 3642179312

ISBN-13: 9783642179310

The foreign Council on structures Engineering (INCOSE) defines platforms Engineering as an interdisciplinary procedure and capacity to allow the conclusion of profitable structures.

Researchers are utilizing intelligence-based concepts to aid the practices of platforms engineering in an cutting edge approach. This examine quantity incorporates a collection of contributions by way of topic specialists to layout larger systems.

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But the mainstream commercial software, which had never been integrated with AI technology, was just as isolated from the Semantic Web. For most programmers and web masters, the languages and tools of the Semantic Web were unfamiliar, there was no migration path from conventional software to the new technology, and the task of knowledge acquisition was just as difficult as ever. The complexity of knowledge acquisition increases with the complexity of the semantics, the amount of detail that must be specified, and the interdependencies among different aspects of the knowledge base.

The complexity of knowledge acquisition increases with the complexity of the semantics, the amount of detail that must be specified, and the interdependencies among different aspects of the knowledge base. To relate different methods, this article uses a three-way distinction: heavyweight semantics is represented in a formal logic with detailed axioms that can support extended reasoning; middleweight semantics is based on formal or informal notations that support a modest amount of reasoning, but with less complexity than heavyweight semantics; lightweight semantics uses tags to classify information, to check simple constraints on types and connections, but not to perform extended reasoning.

Calling an OWL expert for every update would be too slow, and hiring one for every store would cost too much. They needed a simpler system that current employees could modify without lengthy and costly training. As an alternative, Gerard Ellis, an employee of the vendor, designed and implemented a prototype of a more flexible system in just a few weeks. Tesco liked it, and the complete system was delivered to them in a few months (Sarraf & Ellis 2006). Unlike the heavyweight semantics of Cyc, which requires professional knowledge engineers to update and modify, the Tesco system had middleweight semantics that could be updated by Tesco employees who had no training in AI, logic, or ontology.

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Intelligence-Based Systems Engineering by Andreas Tolk, Kevin MacG. Adams (auth.), Andreas Tolk, Lakhmi C. Jain (eds.)


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