km#knowledge_representation__knowledgerepresentation__representing_knowledge__KR__knowledge_modelling  representing information in a more or less formal way
  supertype:  representing_information_in_a_formal_or_semi_formal_way (is)  KM_task  information_presentation
  object:  KR_methodology  KR_language
  part:  knowledge_validation
  part of:  knowledge_sharing
  subtype:  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)
     subtype:  use_of_a_normalizing_KRL
     subtype:  re-use_of_a_top_level_or_large_ontology
        subtype:  following_of_an_ontological_principle
           subtype:  following_of_a_principle_of_the_Ontoclean_methodology
     subtype:  following_of_a_category_naming_principle  lexical normalization involves following object naming rules such as "using English singular nouns or nominal expressions" and "avoiding the Intercap style"
        subtype:  following_of_the_InterCap_style_for_naming_categories
        subtype:  following_of_an_underscore_based_style_for_naming_categories
        subtype:  use_of_nouns_or_nominal_forms_for_naming_categories
           subtype:  use_of_singular_nouns_or_nominal_forms_for_naming_categories
     subtype:  following_of_a_phrasing_principle_for_category_annotations
     subtype:  following_of_a_knowledge_organization_principle  Structural and ontological normalization involves following rules such as "when introducing an object into an ontology, relate it to all its already represented direct generalizations, specializations, components and containers", "use subtypeOf relations instead of or in addition to instanceOf relations when both cases are possible", "avoid the use of non binary relations" and "do not represent processes via relations"
        subtype:  use_of_a_graph-oriented-reading_convention
        subtype:  limiting_the_number_of_relation_types
        subtype:  following_of_an_ontological_principle
  subtype:  representing_knowledge_in_a_concise/organized/precise/readable_way
     subtype:  representing_knowledge_in_a_concise_way
     subtype:  representing_knowledge_in_an_organized_way  setting or presenting many relations between categories or statements
        subtype:  increasing_the_number_of_explicit_conceptual_relations_between_conceptual_objects
           subtype:  increasing_the_number_of_explicit_conceptual_relations_between_relation_types
           subtype:  increasing_the_number_of_explicit_conceptual_relations_between_concept_types
           subtype:  increasing_the_number_of_explicit_conceptual_relations_between_objects_from_different_users
     subtype:  representing_knowledge_in_a_readable_way
     subtype:  representing_knowledge_in_a_precise_way  precise or explicit
  subtype:  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"
     subtype:  KA_from_people
     subtype:  KA_from_data
        subtype:  semi_automatic_KA_from_data__knowledge_discovery__knowledgediscovery__data_mining
           subtype:  semi_automatic_KA_from_data_by_classification
              subtype:  concept_clustering_from_data
           subtype:  knowledge_extraction_from_documents
              subtype:  semantic_web_mining
              subtype:  knowledge-oriented_NLP
                 subtype:  CG_extraction_by_NLP
              subtype:  ontology_extraction_from_documents
                 subtype:  terminological_analysis
              subtype:  document_structure_analysis_or_discovery
           subtype:  knowledge_extraction_from_databases__knowledge_discovery_in_databases__KDD
              subtype:  FCA_based_KDD
     subtype:  classification
        subtype:  conceptual_clustering__concept_clusterization__conceptclusterization  it can be used both for KA and IR, from knowledge or data
           subtype:  conceptual_clustering_via_a_generalization_hierarchy
              subtype:  conceptual_clustering_via_a_category_generalization_hierarchy
                 subtype:  FCA_based_conceptual_clustering
                    subtype:  FCA_attribute_exploration  FCA technique addressing the problem of a context where the object set is not completely known a priori, or too large to be listed
                    subtype:  FCA_concept_exploration  FCA technique addressing the problem of a context where both the object set and the attribute set are not completely known a priori, or too large to be listed
                 subtype:  type_classification
                 subtype:  instance_classification__instance_learning  assignement of instances to types of concepts/relations
              subtype:  conceptual_clustering_via_a_CG_generalization_hierarchy
           subtype:  conceptual_clustering_from_data
              subtype:  conceptual_clustering_from_database
              subtype:  conceptual_clustering_from_documents
                 subtype:  conceptual_clustering_from_emails
        subtype:  classification_by_semantic_grids
  subtype:  language/structure_specific_knowledge_representation
     subtype:  CG_based_KR
  subtype:  methodology_specific_knowledge_representation_or_modelling
     subtype:  task_related_to_the_creation/update_of_the_KB_conceptual_model
        subtype:  creation/update_of_the_KB_conceptual_model
        subtype:  combination_and_instantiation_of_generic_task_models
        subtype:  selection_and_adaptation_of_domain_ontologies


1 statement is about a direct instance of knowledge_representation: graph1_on_article

14 statements are about indirect instances of knowledge_representation: graph8_on_article, graph9_on_article, graph12_on_article, graph13_on_article, graph14_on_article, graph15_on_article, graph18_on_article, graph1_on_PhD_thesis, graph1_on_book, graph21_on_article, graph24_on_article, graph2_on_PhD_thesis, graph25_on_article, graph34_on_article click here to display them or click here for a search form or here to add a statement


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