Re: Slides for PGCon2016; "FTS is dead ? Long live FTS !"
От | Karsten Hilbert |
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Тема | Re: Slides for PGCon2016; "FTS is dead ? Long live FTS !" |
Дата | |
Msg-id | 20160529190447.GK22316@hermes.hilbert.loc обсуждение исходный текст |
Ответ на | Re: Slides for PGCon2016; "FTS is dead ? Long live FTS !" (Oleg Bartunov <obartunov@gmail.com>) |
Ответы |
Re: Slides for PGCon2016; "FTS is dead ? Long live FTS !"
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Список | pgsql-general |
>> I submitted slides to pgcon site, but it usually takes awhile, so you can >> download our presentation directly >> http://www.sai.msu.su/~megera/postgres/talks/pgcon-2016-fts.pdf Looking at slide 39 (attached) I get the impression that I should be able to do the following: - turn a coding system (say, ICD-10) into a dictionary by splitting the terms into single words say, "diabetes mellitus -> "diabetes", "mellitus" - define stop words like "left", "right", ... say, "fracture left ulna" -> the "left" doesn't matter as far as coding is concerned - also turn that coding system into queries by splitting the terms into single words, concatenating them with "&", and setting the ICD 10 code as tag on them say, "diabetes mellitus" -> "diabetes & mellitus [E11]" - run an inverse FTS (FQS) against a user supplied string thereby finding queries (= tags = ICD10 codes) likely relevant to the input say, to_tsvector("patient was suspected to suffer from diabetes mellitus") -> tag = E11 Possible, not possible, insane, unintended use ? Thanks, Karsten -- GPG key ID E4071346 @ eu.pool.sks-keyservers.net E167 67FD A291 2BEA 73BD 4537 78B9 A9F9 E407 1346
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