Browse Prior Art Database

Patent scoring tool Disclosure Number: IPCOM000004818D
Publication Date: 2001-Jun-15
Document File: 36 page(s) / 89K

Publishing Venue

The Prior Art Database


A computer based method and apparatus for mining data from a patent-related document having a number of independent claims including the steps of analyzing the patent-related document and identifying a section of the document containing claims of the patent-related document and determining which of the claims are independent in nature. The invention also provides a method and apparatus for ranking a set of patents according to strength.

This text was extracted from a WORD97 document.
This is the abbreviated version, containing approximately 6% of the total text.




In accordance with 37 C.F.R. ยง1.96, this patent contains a computer software listing in a microfiche appendix. The listing includes 1 microfiche having 44 frames.

Copyright Notice

A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all rights under the Copyright Law.

Field of the Invention

The invention relates generally to patent data mining and analysis tools, and, more specifically to a computer based method and apparatus for mining and displaying patent data.

Background of the Invention

Intellectual property assets typically make up 60 80% of the value of most companies. Even though revenues from U.S. patents rose from $3 billion in 1960 to $60 billion in 1993, according to the United States Patent and Trademark Office, most traditional companies still don't effectively manage their intellectual property assets, let alone track and analyze the intellectual property assets of their competitors.

Patents usually make up the largest portion of the IP portfolio in any technological company. Companies have always used patents to prevent others from making, using or selling patented products or methods, or to force companies into licensing agreements. There are many good reasons for tracking, mining and analyzing intellectual property data, and particularly patent data. The profitability and growth of some companies is directly related to their ability to develop, defend, and commercialize key patents. Companies who are patent savvy can make more informed decisions about entering new technological areas. They can determine whether certain products warrant patent protection or would infringe the patents of others. They can better predict where their industry, and competitors, is headed. Analyzing patent data is essential in effective negotiation of licenses. It is crucial in determining the true value of a merger or acquisition candidate. It is useful in finding infringers and in identifying licensable technologies. It is useful in finding prior art to invalidate the patents of another. Tracking patents, mining and analyzing patent data in core technologies and businesses, then, is clearly a key strategic priority for many companies. Yet, with over 10 million worldwide patents existing at present (nearly 6 million of which have issued in the United States), and with well over 10,000 new applications for patents filed in an average week, it is exceedingly difficult to track, mine and analyze the enormous volume of available patent data.

Recent software advances have addressed the problem. While priv...