Computational Legal Studies™ » patents

The Patent Conference @ KU Law

Daniel Martin Katz — Thu, 07 Apr 2011 04:01:00 +0000

Today, I am traveling to Kansas for The Patent Conference (aka Pat Con). Tomorrow, I will be presenting our methods paper Distance Measure for Dynamic Citation Networks (published in the Statistical Mechanics Journal – Physica A in October 2010). While the specific applied example in paper is focused on case-to-case legal citations, the formalization and method we present therein has general form applicability to all dynamic direct acyclic graphs (including the patent citation network). Thus, we are interested in discussing how to leverage our approach to better understand the path of innovation that is revealed in datasets such as the NBER patent dataset.

US Patent and Trademark Office – Data Visualization Center

Daniel Martin Katz — Sun, 12 Sep 2010 15:02:47 +0000

Legal Studies in the Era of ‘Big Data’ – Google Releases 10 Terabytes of Patent and Trademark Data

Daniel Martin Katz — Wed, 02 Jun 2010 19:46:01 +0000

The Bilski Case: Still Waiting for the Supreme Court’s Decision

Daniel Martin Katz — Mon, 24 May 2010 01:51:19 +0000

Along with a non-trivial subset of the legal blogosphere, we eagerly await the Supreme Court’s decision in the Bilski case. Perhaps tomorrow will be the day? In the meantime, here are a variety of thoughts on the matter. Bilski Blog / EFF / Now Europe / PatentlyO / GenomicsLawReport / Ipwatchdog / Fenwick&West / InsideCounsel. This one from Greg Laden is also fun.

Google Wave — A Promising Platform for Real-Time Collaboration

Daniel Martin Katz — Mon, 23 Nov 2009 04:28:14 +0000

Also from the good folks at Google Scholar comes caselaw and patents together with metadata, page tags and a nice “how cited” feature. Here is the announcement from the GoogleBlog. Useful analysis available at Legal Informatics Blog, Just in Case and Internet for Lawyers. Enjoy!

Patent Citation Networks Revisited: Signs of 21st Century Change?

Daniel Martin Katz — Fri, 18 Sep 2009 04:15:45 +0000

Classifying the US Patent Hierarchy

Daniel Martin Katz — Sun, 10 May 2009 07:27:43 +0000

The United States Patent and Trademark Office patent classification scheme organizes 3 million patents into about 160,000 distinct patent classes. This visualization by Katy Börner, Elisha Hardy, Bruce W. Herr II, Todd M. Holloway, & W. Bradford Paley considers the organizational schema used to classify patents at the US Patent Office. Their article Taxonomy Visualization in Support of the Semi-Automatic Validation and Optimization of Organizational Schemas was published in the Journal of Informetrics in 2007.

From the Abstract: “The taxonomy visualization and validation (TV) tool introduced in this paper supports the semi-automatic validation and optimization of organizational schemas such as file directories, classification hierarchies, taxonomies, or other structures imposed on a data set for organization, access, and naming. By showing the “goodness of fit” for a schema and the potentially millions of entities it organizes, the TV tool eases the identification and reclassification of misclassified information entities, the identification of classes that grow too large, the evaluation of the size and homogeneity of existing classes, the examination of the “well-formedness” of an organizational schema, and more.”