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Encyclopedia: Domain knowledge
Most general, domain knowledge is the knowledge which is valid and directly used for a pre-selected domain of human or an autonomous computer activity. Specialists and experts use and develop their ow...
en.wikipedia.org/wiki/Domain_knowledge |
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Domains can be thought of as categories. Trainers often refer to these three domains as KSA (Knowledge, Skills, and Attitude). This taxonomy of learning...
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RDR are a way of building knowledge based systems which focus on very simple addition of domain knowledge. The major success of RDR has been in single classification tasks. A challenge to RDR from the PSM community has been to extend RDR to a wider range of tasks than classification.
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However, current RDR-based systems have been criticised because they do not provide any explicit model of the domain knowledge underlying the rule base. Therefore, RDR-based systems limit the potential for re-use and sharing as well as interoperability.
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Definition of knowledge domain in the Online Dictionary. Meaning of knowledge domain. Pronunciation of knowledge domain. Translations of knowledge domain. knowledge domain synonyms, knowledge domain antonyms. Information about knowledge domain in the free online English dictionary and encyclopedia. knowledge base, domain...
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Oct 24, 2008 Description of the Montague Institute's introductory taxonomy course.
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Skupin reviews major cartographic principles and by way of example produces a large-format map-like knowledge-domain visualization. Alan MacEachren, Mark Gahegan, and William;
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domain knowledge - Technical definition of domain knowledge from A Dictionary of Computing at Encyclopedia.com.
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Section 2.1.4, Section 2.2.2, and especially Section 4.1 stress the critical importance of application domain knowledge in understanding a software system. A significant contribution of this work is the integration of domain knowledge with code-level knowledge.
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Integrating citation and co-citation patterns provides a rich, ecological representation of a knowledge domain. Users can apply visualizations to discover patterns and make valuable connections among data.
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