Question

How do I find duplicate addresses in a database, or better stop people already when filling in the form ? I guess the earlier the better?

Is there any good way of abstracting street, postal code etc so that typos and simple attempts to get 2 registrations can be detected? like:

Quellenstrasse 66/11  Quellenstr. 66a-11 

I’m talking German addresses… Thanks!

Answer 1

Johannes:

@PConroy: This was my initial thougt also. the interesting part on this is to find good transformation rules for the different parts of the address! Any good suggestions?

When we were working on this type of project before, our approach was to take our existing corpus of addresses (150k or so), then apply the most common transformations for our domain (Ireland, so "Dr"->"Drive", "Rd"->"Road", etc). I’m afraid there was no comprehensive online resource for such things at the time, so we ended up basically coming up with a list ourselves, checking things like the phone book (pressed for space there, addresses are abbreviated in all manner of ways!). As I mentioned earlier, you’d be amazed how many "duplicates" you’ll detect with the addition of only a few common rules!

I’ve recently stumbled across a page with a fairly comprehensive list of address abbreviations, although it’s american english, so I’m not sure how useful it’d be in Germany! A quick google turned up a couple of sites, but they seemed like spammy newsletter sign-up traps. Although that was me googling in english, so you may have more look with "german address abbreviations" in german 🙂