Patalyze — An Experiment Exploring Publicly Available Patent Data
For a few months now I've been working on and off on a little "data-project" analyzing patents published by the US Patent & Trademark Office. Looking at the time I spent on this until now I think I should start talking about it instead of just hacking away evening after evening.
It started with a simple observation: there are companies like Apple that sometimes collaborate with smaller companies building a small part of Apple's next device. A contract like this usually gives the stock of the small company a significant boost. What if you could foresee those relationships by finding patents that employees from Apple and from the small company filed?
Obviously this isn't going to change the world for the better but just the possibility that such predictions or at least indications are possible kept me curious to look out for APIs offering patent data. I did not find much. So thinking about something small that could be "delivered" I thought a patent API would be great. To build the dataset I'd parse the archives provided on Google's USPTO Bulk downloads page.
For what we wanted to do we only required a small subset of the data a patent contains. We needed the organization, it's authors, the title and description, filing- and publication dates and some identifiers. With such a reduced amount of data that's almost only useful in combination with the complete data set I discarded the plan to build an API. Maybe it will make sense to publish reduced and more easily parseable versions of the archives Google provides at some point. Let me know if you would be interested in that.
So far I've built up a system to parse, store and query some 4 million patents that have been filed at the USPTO since beginning of 2001. While it sure would be great to make some money off of the work I've done so far I'm not sure what product could be built from the technology I created so far. Maybe I could sell the dataset but the number of potential customers is probably small and in general I'd much more prefer to make it public. I'll continue to explore the possibilities with regards to that.
For now I want to explore the data and share the results of this exploration. I setup a small site that I'd like to use as home for any further work on this. By now it only has a newsletter signup form (just like any other landing page) but I hope to share some interesting analysis with the subscribers to the list every now and then in the near future. Check it out at patalyze.co. There even is a small chart showing some data.