Thanks! Ethan, your solr response will look great when you get that ranking information into it. I hope we'll have the LCSH equivalent of that FAST data sometime soon.
Ralph > -----Original Message----- > From: Code for Libraries [mailto:code4...@listserv.nd.edu] On Behalf Of > Ethan Gruber > Sent: Thursday, December 10, 2009 4:35 PM > To: CODE4LIB@LISTSERV.ND.EDU > Subject: Re: [CODE4LIB] Auto-suggest and the id.loc.gov LCSH web service > > Nice work, Ralph. That's really slick. I have all the subject terms in the > solr index, but I would like to eventually integrate the Worldcat data to > make the results more relevant (rather than just sorted alphabetically since > each subject occurs only once). > > I have yet to adapt my Orbeon forms to handle dynamic querying of the terms > in Solr, but would like to have that done in the next week or two (I hope!). > > Here's a sample of the data: > > http://beta.scholarslab.org:9080/solr- > 1.4/terms?terms.fl=subject&terms.limit=25&terms.prefix=Egy > > The terms.prefix parameter displays terms that start with the letters > inputted. It's extremely fast, so I have no doubt I can use it for > autosuggest per keystroke. > > Ethan > > On Thu, Dec 10, 2009 at 4:07 PM, LeVan,Ralph <le...@oclc.org> wrote: > > > In a rare demonstration of doing as promised, I have a FAST > > AutoSuggester running based on that data. An HTML demonstration of the > > service can be found at http://orlabs.oclc.org/FAST/autosuggest.html and > > the underlying AutoSuggester is running at > > http://orlabs.oclc.org/FAST/AutoSuggest. Searches from the HTML go to > > WorldCat. > > > > An example of a suggestion request would be > > http://orlabs.oclc.org/FAST/AutoSuggest?query=0 > > > > It returns JSON, which the above HTML link demonstrates the use of. > > > > My AutoSuggester is just a thin interface to an SRU database. The query > > that comes to the AutoSuggester is turned into an SRU query and the > > resulting record is dropped into the AutoSuggester response. The link > > to the SRU database for the above query for "0" would be > > http://orlabs.oclc.org/identities/search/AutoSuggestFAST?query=fragment+ > > > exact+%220%22<http://orlabs.oclc.org/identities/search/AutoSuggestFAST?q ue > ry=fragment+%0Aexact+%220%22> > > > > I've put up a file containing all the records I loaded into my database. > > The records contain 2 tab delimited fields. The first field is the key > > to the record and corresponds to the user's keystrokes (e.g. '0' above). > > The second field contains the JSON response which is an ordered array of > > terms. I load that into the moral equivalent of Lucene and you see the > > results in that SRU search. The file can be found at > > http://orlabs.oclc.org/FAST/AutoSuggestFAST.zip > > > > Let me know if you have any problems or questions. > > > > Ralph > > > > > > > -----Original Message----- > > > From: LeVan,Ralph > > > Sent: Thursday, December 10, 2009 11:12 AM > > > To: CODE4LIB@LISTSERV.ND.EDU > > > Subject: RE: [CODE4LIB] Auto-suggest and the id.loc.gov LCSH web > > service > > > > > > We've made some progress on this topic. > > > > > > I have available a list of our FAST subject headings. They are > > derived from > > > LCSH and may be of some use. The folks that produced this file are > > working on > > > producing a similar file for LCSH. > > > > > > The file can be found at http://orlabs.oclc.org/FAST/fastOutput.zip. > > > > > > The file contains tab delimited records. The first column is the ID > > number of the > > > FAST record that the term comes from. The second column is the MARC > > > Authorities field that the term came from. The third column is the > > term itself. The > > > 4th column is the count of records in WorldCat that are retrieved when > > that term > > > is used in the Keyword index. The 5th column is the count of records > > in > > > WorldCat that are retrieved when that term is used in the Subject > > index. > > > > > > I expect to have an AutoSuggester built on this today. > > > > > > Ralph > >
