km#knowledge_normalization  representing knowledge in a precise, organized and scalable manner; this implies reducing the number of non-automatically comparable ways information is or can be written, and increasing the number of relations between objects (especially common/important relations such as generalization relations, partOf relations and case relations)
  closed_exclusion:  is#data_normalization
  supertype:  km#knowledge_representation__knowledgerepresentation__representing_knowledge__KR__knowledge_modelling  representing information in a more or less formal way
  subtype:  km#use_of_a_normalizing_KRL  km#re-use_of_a_top_level_or_large_ontology {km#following_of_a_category_naming_principle km#following_of_a_phrasing_principle_for_category_annotations km#following_of_a_knowledge_organization_principle}
  part of:  km#representing_knowledge_in_an_organized_way  setting or presenting many relations between categories or statements
     part of:  km#representing_knowledge_in_a_precise_way  precise or explicit
  part of:  km#representing_knowledge_in_a_readable_way
  part of:  km#knowledge_modelling/classification/extraction__knowledgemodelling/classification/extraction__knowledge_acquisition__knowledgeacquisition__KA_task__KA  this is "knowledge acquisition" in its restricted sense; in its broader sense, it is equivalent to "knowledge management"
     part of:  km#collecting_knowledge_for_modelling
     part of:  km#eliciting_knowledge_from_a_person

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