It sounds to me like you are wanting to *filter* your document to only include terms within that medical dictionary. Or to have a keyword field based upon those of your 100k terms that appear in that doc.
Synonyms are your saviour, if that's the case. Create a synonyms list for your terms, they can be a one-to-one mapping, so: diabetes => diabetes is quite okay. Then, in your index time analysis chain, have a SynonymFilterFactory followed by a TypeTokenFilterFactory configured to only allow SYNONYM tokens through. Then, in your index, you will have a field that contains all the terms from your 100k that are included in that particular document. Does that get it? Upayavira On Fri, Sep 11, 2015, at 03:21 AM, Francisco Andrés Fernández wrote: > Yes. > I have many drug products leaflets, each corresponding to 1 product. In > the > other hand we have a medical dictionary with about 10^5 terms. > I want to detect all the occurrences of those terms for any leaflet > document. > Could you give me a clue about how is the best way to perform it? > Perhaps, the best way is (as Walter suggests) to do all the queries every > time, as needed. > Regards, > > Francisco > > El jue., 10 de sept. de 2015 a la(s) 11:14 a. m., Alexandre Rafalovitch < > arafa...@gmail.com> escribió: > > > Can you tell us a bit more about the business case? Not the current > > technical one. Because it is entirely possible Solr can solve the > > higher level problem out of the box without you doing manual term > > comparisons.In which case, your problem scope is not quite right. > > > > Regards, > > Alex. > > ---- > > Solr Analyzers, Tokenizers, Filters, URPs and even a newsletter: > > http://www.solr-start.com/ > > > > > > On 10 September 2015 at 09:58, Francisco Andrés Fernández > > <fra...@gmail.com> wrote: > > > Hi all, I'm new to Solr. > > > I want to detect all ocurrences of terms existing in a thesaurus into 1 > > or > > > more documents. > > > What´s the best strategy to make it? > > > Doing a query for each term doesn't seem to be the best way. > > > Many thanks, > > > > > > Francisco > >
