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To solve the difficulty of exchanging knowledge of complex engineering systems for diagnosis, which resulting in huge work and long cycle for developing test-based diagnosis equipment, this paper proposes a novel method of exchanging knowledge of systems under diagnosis using OWL ontologies and SWRL rules.
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The Semantic Web uses ontological descriptions, in particularly Web Ontology Language OWL, as a universal medium to formally describe and exchange knowledge of various domains.
The computation of dominating sets requires neighbouring nodes to exchange their knowledge of local topology.
Tapping into and exchanging the powerful knowledge of their trusted peers can be a time saver and a career saver.
Cracking the problem of, for example, methane-for-CO2 exchange requires knowledge of all the intermediate chemical stages.
Yet information was exchanged, too: the knowledge of how to cast iron, blow glass and make silk (though some of this exchange depended on industrial espionage).
In the first part, theoretical considerations about processes of knowledge exchange, knowledge generation, adaptive capacity, and social learning are presented.
The patients tended to highly agree with privacy protection, system promotion, and quality increment through exchange, but reported insufficient knowledge of the exchange system.
Activities such as exchange of experiences, knowledge of self-care, preparation for travel, educational seminars, social welfare and artistic skills such as drawing and calligraphy were implemented.
This approach involves, in a mobile way, the exchanging of knowledge among people who share the same interests.
Types of knowledge exchanged included specialist clinical knowledge and day-to-day practice knowledge.
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