Over a million developers have joined DZone.

Finding Relationships in Trademark Data

· Big Data Zone

Hortonworks DataFlow is an integrated platform that makes data ingestion fast, easy, and secure. Download the white paper now.  Brought to you in partnership with Hortonworks

At the recent National Day of Civic hacking here at OSC we dug into a few ways to find relationships between Trademarks files with the USPTO. 

If you’ve ever played with the US trademark data you’ll know that it’s both plentiful and scarce. There are lots of trademark fillings, each with the minimum possible data to make them uniquely identifiable.

That’s great for streamlined government and citizen anonymity, but no fun for finding the relationships between filings. We needed to suss out more information about the graph of trademarks.  That’s when we Eric and Wes tripped over the translations included in many of the patent filings.  We wondered if the term space for these translations might be smaller and more consistent then the space defined by the actual trademarks.  Translations were less likely to play games with spelling or grammar the way one might with the actual mark. 

Some Hacking with the data and Neo4j resulted in an intriguing dataset that we are still unpacking.  Want to play with the data? Neo4J loaded with data is at this url: http://rosetta.bloom.sh:7474/webadmin/ 

 

Learn how you can modernize your data warehouse with Apache Hadoop. View an on-demand webinar now. Brought to you in partnership with Hortonworks.

Topics:

Published at DZone with permission of Matt Overstreet, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

The best of DZone straight to your inbox.

SEE AN EXAMPLE
Please provide a valid email address.

Thanks for subscribing!

Awesome! Check your inbox to verify your email so you can start receiving the latest in tech news and resources.
Subscribe

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}