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There's an issue with data concordance (I think that's the term) in that, for example, Snekma is listed as having a few RU patents but that's actually the same
by pbhjpbhj 5y ago
There's an issue with data concordance (I think that's the term) in that, for example, Snekma is listed as having a few RU patents but that's actually the same company as SNECMA (French aeronautical company) which is listed as having many more patents; but that company is now known as Safran.
A proper historical analysis of companies would need to account for mergers/splits/renames of companies themselves - data which is only really able to be inferred (at best) from patent sources. You'll need company merger records etc..
I wonder if they're also handling misspellings in company data? (Eg Bpsch instead of Bosch, this sort of thing does sometimes get printed on patent documents).
Chinese company names are one of the harder cases, I feel, for example Edwards (pump manufacturer) presence in China appears to go by "Aidehua Vacuum" (which seems to be a roman-script Chinese transliteration of Edwards Vacuum).
It's a hard problem to attend but I think you're going to miss a lot of detail in company-focused analysis if you don't tackle it.
This is all personal opinion and in no way relates to my work."
- l7l 5y agoHi pbhjpbhj, thanks for the feedback. I think at the moment company name disambiguation, especially with patents is an unsolved problem. There are easier tasks such as cleaning typos and company name changes, but then as you mentioned - mergers, splits etc. Which companies with exactly the same name but in different countries are the same? And in most cases ownership changes of the patents are not even tracked. Thats why we decided to do some preprocessing, but did not try to solve this problem by now.