Yonik/Hoss - OK, you lost me. It sounds as if this PhraseQuery-ish approach involves breaking datetime and lat/long values into pieces, and evaluation occurs with positioning. Is that accurate?
On 1/16/07, Yonik Seeley <[EMAIL PROTECTED]> wrote:
On 1/15/07, Chris Hostetter <[EMAIL PROTECTED]> wrote: > PhraseQuery artificially enforces that the Terms you add to it are > in the same field ... you could easily write a PhraseQuery-ish query that > takes Terms from differnet fields, and ensures that they appear "near" > eachother in terms of their token sequence -- the context of that comment > was searching for instances of words with specific usage (ie: "house" used > as a noun) by putting the usage type of each term in a different term in a > seperate parallel field, but with identicle token positions. It seems like this could even be done in the same field if one had a query type that allowed querying for tokens at the same position. Just index "_noun" at the same position as "house" (and make sure there can't be collisions between real terms and markers via escaping, or use \0 instead of _, etc). -Yonik
