We are considering Lucene as a replacement for Verity K2 (I won't go into the myriad reasons, other than to highlight that the K2 Java API is riddled with errors, falsities and just plain stupidity [okay, I've had my rant]) and figure that Lucene can do what we are currently using K2 for, except for what Verity calls "profiling" (matching incoming documents against a stored index of queries).
The very question I need answered was asked on 31 October, 2001 in a message with the subject "Alert function" (message ID 116006, I do believe), but there was never an answer. I will, in fact, quote this message, as it states the question very well indeed: > One thing I need is an alert function, that is, instead of searching > with a query on a lot of documents, I want all incoming documents to be > searched against a bunch of stored search queries (called "agents"). > > The simple solution is to index the document and then iterate through > all agents, but that isn't very scalable (say there are 10 new documents > a minute, and 10000 stored agents...). > > The way commercial products like Verity and Autonomy handles this is to > store the search queries (the agents) instead, and then use the incoming > document as a search query against the stored agents. This way it > becomes extremely scalable. > > Could this be a solution with Lucene too, and how would that look like? This was originally posted by a Christian Ubbesen. I have tried to contact him, to see if he had managed to solve this, but have not heard back (hey, he could well have moved on in 3.5 years!) Thanks, -- Robert -------------------- Robert Watkins [EMAIL PROTECTED] -------------------- --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
