analytics - Difference between homonyms and synonyms in data science with examples -


please share difference between homonyms , synonyms in data science examples.

synonyms concepts:

when determine 2 concepts synonyms (say, sofa , couch), use class expression owl:equivalentclass. entailment here instance member of class sofa member of class couch , vice versa. 1 of nice things approach "context" of equivalence automatically scoped ontology in make equivalence statement. if had small mapping ontology between furniture ontology , interior decorating ontology, in map these 2 equivalent. in situation if needed retain (subtle) difference between couch , sofa, merely not including mapping ontology declared them equivalent.

homonyms concepts:

as led zeppelin says, "and know words have 2 meanings…" happens when "word" has 2 meanings have wordnet call "word senses." in particular language, set of characters may represent more 1 concept. 1 example english word "mole," wordnet has 6 word senses. semantic web approach give each own namespace; instance, might refer counterspy mole cia:mole , burrowing rodent mammal:mole. (these shortened qnames full namespace names.) nice thing is, if cia ever needed refer rodent unambiguously refer mammal:mole.

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