Understanding Patent Database Behavior For Better Patent Search


Extracting information from huge datasets, based on keyword search is actually a challenging job. Patent databases contains millions of patent records and when it come to patent search to find out the relevant patent literature in a specified technology area, its really interesting but annoying too. The broader keyword based search results in more garbage, while narrower search may cause loss of some very critical and important patents.

There comes the role of IPC and US class. We can get better results by combining the various relevant classification codes with the keywords. But it is also generate sometime 30% of unrelated patents. Thus patent searching is very important in an organization. It’s very crucial of technology companies as well as service providers. Since removing irrelevant patents during analysis, will cost time, thus affect the productivity and even the satisfaction of the clients.

Some of the databases for providing the concept based search, but it is not so promising. Thus the aim to the current article is to find out the methods and tools for effective and better patent searching.

It’s very important to understand the behavior of the patent database, we are using patent search. We should know the following:

o Inputs for the database

o Database coverage

o Field of search for various countries

o Logical operators and their behavior

o What actually is going behind the screen

o How the search string is processed by the database

These are the few points which a patent searcher must know, and should keep it his mind during a patent search. The logical screening of keywords, Class codes, etc. with appropriate operator will generate a good search results.


Source by Mr. Vinod Singh