I'm not ignoring this; it's just taking a while to formulate an example and scrub it of all the data that might be considered proprietary. I am, after googling a little bit on "Sensor fusion", playing around with some very simple Bayesian networks.
The problem here is basically that we wish to present to our clients a view of the data where the client can, if they wish, be ignorant of which vendor produced this data; included in this is the idea that we will identify a particular thing-about-which-we-have-data (TAWWHD) by all the identifiers used by different vendors, so that a client may look up information by any key identifier given by any vendor. Also, we can use this to do sanity checks on individual vendors' data. (and only present clients with the consensus data)
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Date: 2006-11-20 08:01 pm (UTC)The problem here is basically that we wish to present to our clients a view of the data where the client can, if they wish, be ignorant of which vendor produced this data; included in this is the idea that we will identify a particular thing-about-which-we-have-data (TAWWHD) by all the identifiers used by different vendors, so that a client may look up information by any key identifier given by any vendor. Also, we can use this to do sanity checks on individual vendors' data. (and only present clients with the consensus data)