On 13/02/2019 12:17, Gareth Baxendale wrote:
This is perhaps more or an architecture question than dev code but
appreciate collective thoughts!
We are using Solr to order records and to categorise them to allow users to
search and find specific medical conditions. We have an opportunity to make
use of Machine Learning to aid and improve the results. AWS Comprehend is
the product we are looking at but there is a question over whether one
should replace the other as they would compete or if in fact both should
work together to provide the solution we are after.
One is an open source search engine and one is a closed source hosted
NLP service you pay for. I think you're comparing chalk and cheese here:
you would use a NLP service to enhance the source data before indexing
with something like Solr, or extract information from a query before
searching. Although Solr does contain some classification features it
doesn't contain any NLP features - although as my colleague Liz writes
you can now easily integrate Solr & OpenNLP, another open source
toolkit.
https://opensourceconnections.com/blog/2018/08/06/intro_solr_nlp_integrations/
By the way are you aware that NHS Wales are using Solr to power their
patient records service?
Best
Charlie
Appreciate any insights people have.
Thanks Gareth
--
Charlie Hull
Flax - Open Source Enterprise Search
tel/fax: +44 (0)8700 118334
mobile: +44 (0)7767 825828
web: www.flax.co.uk
