Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtp (Exim 4.84_2) (envelope-from ) id 1b761J-00057Z-FS for pgsql-general@arkaria.postgresql.org; Sun, 29 May 2016 19:05:05 +0000 Received: from localhost ([127.0.0.1] helo=postgresql.org) by malur.postgresql.org with smtp (Exim 4.84_2) (envelope-from ) id 1b761I-0000zW-G0 for pgsql-general@arkaria.postgresql.org; Sun, 29 May 2016 19:05:04 +0000 Received: from makus.postgresql.org ([2001:4800:1501:1::229]) by malur.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA384:256) (Exim 4.84_2) (envelope-from ) id 1b761B-0000uR-NF for pgsql-general@postgresql.org; Sun, 29 May 2016 19:04:58 +0000 Received: from mout.gmx.net ([212.227.15.19]) by makus.postgresql.org with esmtps (TLS1.2:DHE_RSA_AES_256_CBC_SHA256:256) (Exim 4.84_2) (envelope-from ) id 1b7617-0000GD-6z for pgsql-general@postgresql.org; Sun, 29 May 2016 19:04:56 +0000 Received: from hermes ([84.133.70.59]) by mail.gmx.com (mrgmx001) with ESMTPSA (Nemesis) id 0M8NBi-1bSjhK2U1i-00vz5J for ; Sun, 29 May 2016 21:04:49 +0200 Received: from ncq by hermes with local (Exim 4.87) (envelope-from ) id 1b7611-00038t-Ij for pgsql-general@postgresql.org; Sun, 29 May 2016 21:04:47 +0200 Date: Sun, 29 May 2016 21:04:47 +0200 From: Karsten Hilbert To: pgsql-general@postgresql.org Subject: Re: Slides for PGCon2016; "FTS is dead ? Long live FTS !" Message-ID: <20160529190447.GK22316@hermes.hilbert.loc> Mail-Followup-To: pgsql-general@postgresql.org References: MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="MW5yreqqjyrRcusr" Content-Disposition: inline In-Reply-To: Ma_X_il-Followup-to: d Re_X_turn-receipt-to: Karsten.Hilbert@gmx.net Di_X_sposition-Notification-To: Karsten.Hilbert@gmx.net X-Confi_X_rm-Reading-To: Karsten.Hilbert@gmx.net X-Pri_X_ority: 2 (High) User-Agent: Mutt/1.6.0 (2016-04-01) X-Provags-ID: V03:K0:T2o/lY7c1PdiRuI9CEojBf+oqrsgj9kQ6dcnJUAXvXEL3/mNKvs 7nA9TKP/+nObEECBxZtJGMVqTBYjQHCpjQe2Q6CZDp6x3NqJcEzTuj1MnK2az/SKNi3tD40 /myIAmgOC9QCFK+yQfYyDLyPX5Tt1JTQ+n71kaP54RHvJQ7Y5IU834HB7iMK1rOE5T0/gSg 97/omPHYWb1QthI2Hef/g== X-UI-Out-Filterresults: notjunk:1;V01:K0:LhXxBWtiTXA=:ZJtCqXU29x/DiwWVW+ElMH 1Z/gq0OVYFaYyhi3KTXHfMEIfJ+gtU0rGfmSBwVmNbRxhuGdhdjlKX8pVKyd8K5azXkLqPJDy oHC49Uu4261oVhonklzd25A3EEBJBjCHHHKaRyTG6id1KxUn7tmVzoCuy4tyxJm7bIv7I07li N7jPA20eMk5MUuxkyWv6fTFhAc/+cc9YuQRzVPt+XReJx33fC0YrHrD1G9AvmXCu/W+0uJcCP f6EcYsJ6s7DFVoKPco+I0DikcpuvxX5ykXS/gCTvFFem9JCpPq8H/E+ANzpUkWZ9fB5hrXlDR hE04L/EAVbV/DuESfmX55m5mCMdR0fe/x2GVnHP1TppgYNDn6gGLEYAIBZvuiAbdrWwRX90OH EmyxZ0iYgiHO05JrE12VFAbbuVHoy5R/YVpL5EUeTgLvtLKOo2lSmIaE0B1+Mz1xYHWeCqXi9 Mic0ZUdfpePOS6DMLYe3U1guvWEkR5KdJ8QXzhqsHTGTWJKLYQaA/PGlXFhBqREnn8RsrFSmN YvTZGp3mZHdKNKXgPRcurIJ6UeqSQhdwqfxqpzIfGdpM3z6FmL9hltAFjwL+EuJ2rpxXlHEZn UD6ugypB7bKePrgKRMAxT1MkgPEMZrAIRxoWkh1G8X5woy1YM8REwPI1NgcStVWZr2FZYPnfh TkreHAUmMbi45raqBhr468f5aQ47yUBAbKIZHC+ke+RNQSOKOstsUn9NZncrk0PcdaqMSbZxR 0yRsievqxmbq88udseq7DcxdRqs0j9VqlXHHtLTiMa3axdfshHBCNQtFq98= X-Pg-Spam-Score: -3.0 (---) List-Archive: List-Help: List-ID: List-Owner: List-Post: List-Subscribe: List-Unsubscribe: X-Mailing-List: pgsql-general Precedence: bulk Sender: pgsql-general-owner@postgresql.org --MW5yreqqjyrRcusr Content-Type: text/plain; charset=us-ascii Content-Disposition: inline >> 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 --MW5yreqqjyrRcusr Content-Type: application/pdf Content-Disposition: attachment; filename="pgcon-2016-fts-Seite-39.pdf" Content-Transfer-Encoding: base64 JVBERi0xLjQKJcfsj6IKNSAwIG9iago8PC9MZW5ndGggNiAwIFIvRmlsdGVy IC9GbGF0ZURlY29kZT4+CnN0cmVhbQp4nJVabW9ex3FFRNK2HhFqpMhO1LTW lRo7pAHT+/4CNEBhoA2a9ktdAf0Q9pPaxAhIA1aBFPr3PefM7OUjK0pQG/Y9 3NfZmbMzs7vP91u4ilvgv/59dXv46pu+/f5/Dt8fwpZK2G7xHbG37eZQZ30b s/7m8O3hP77YvjvEjf++/r33Q4O09Zn79vq/D7/74vBvGLHnrbSGqrzFkgdq NnXF7KmWMSBGHXmOAjBSSXFyvFLKVnuHJEJhYM7c5jEayVELfcsjbC2OrQDz ++pQcrYS9G+hbmvEV5A9ZwrF0VlCdCNko5cRj5HmIWqhbaVjtFTQB39nzVPG 1rDskiBJnZCg6fvqkLEmotxYkreMVq1E1mS0TWPLGSUx6FuH+rhkN1Rf6WHr YVIJLW89xq3UgS8WUwu+U9MDJS4TbTGsvrWqBmiyT98G1FJm0ffVoYYsVDHi gLgVahqhsCaxDYTBYvqEkiFOnxytFqCBPlhuh031rVYzNHOVJGiRl2wcrWN5 nKdTeZCAX8g2qpVA6Z2y+UppnJKh2qFVFxizY7UNKsZ/7M8vRsb4RBXqZIuK 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