语义层和机器中的幽灵.pdf

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语义层和机器中的幽灵.pdf

1、Ahren Lehnert,Principal Taxonomist Nike,Inc.Semantic Layers,Multi-Purpose Taxonomies,and the Ghost in the MachineTaxonomy Boot Camp 2024Ahren LehnertPrincipal Taxonomist Nike,Inc.234“Ive stood at the edge of the icy,entropic death spiral of a taxonomys semantic cohesion.”https:/en.wikipedia.org/wiki

2、/File:BladeRunnerRoyBattySpeech.jpeg#filelinksSkew you!Agenda6Taxonomies&OntologiesSemantic LayerGhosts in the MachineModeling for TruthTaxonomies7Taxonomies are hierarchical structures defining the unambiguous concepts used as metadata to identify data and digital contentThe term“taxonomy”is typica

3、lly used as a catch-all phrase to include flat lists and thesauri,concept properties such as“definition”,and named hierarchical and associative relationshipsTaxonomies are not the only source of data and metadata in the organization,but they are centralized metadata repositories which can be used to

4、 tag content and data and across systemsCognitive BiasesBaader-Meinhoff False Consensus False Uniqueness Gender BiasNarrative BiasObjectivity IllusionSelection BiasUnconscious BiasGhostsCrisis or Death Survival ElementalsGhosts of AnimalsGhosts of the LivingHaunted Inanimate Mental Imprint Poltergei

5、stsTraditional Ghostshttps:/ ontology is the structural,semantic schema setting the“rules”for taxonomy schemes and their values,specifying which concepts belong to which classes,which properties can be used on any given concept,and the hierarchical and associative relationships allowed between conce

6、pts in one or more schemesOntologies semantically define the knowledge domain and describe our work,including entities,their relationships,and their attributes(properties)The ontology is the underlying semantic schema defining one or more domains and provides a common framework across systems,data,a

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