The use of external databases as a supplementary tool to traditional searches of a patent examiner

1985 ◽  
Vol 7 (1-2) ◽  
pp. 126-132 ◽  
Author(s):  
Manfred Vögtel
Keyword(s):  
2017 ◽  
Author(s):  
Cesare Righi ◽  
Timothy Simcoe
Keyword(s):  

1988 ◽  
Vol 7 (3) ◽  
pp. 11
Author(s):  
J.S. Iandiorio
Keyword(s):  

2013 ◽  
Vol 35 (3) ◽  
pp. 224-229 ◽  
Author(s):  
Marc De Vleeschauwer
Keyword(s):  

2009 ◽  
Vol 80 (2) ◽  
pp. 441-455 ◽  
Author(s):  
Joaquín M. Azagra-Caro ◽  
Ignacio Fernández-de-Lucio ◽  
François Perruchas ◽  
Pauline Mattsson

Author(s):  
Jeannette E. Brown

Dr. Patricia Carter Sluby (Fig. 5.1) is a primary patent examiner retired from the US Patent and Trademark Office and formerly a registered patent agent. She is also the author of three books about African American inventors and their patented inventions. Patricia’s father is William A. Carter Jr., and her mother is Thelma LaRoche Carter. Her father was the first black licensed master plumber in Richmond, VA, and his father also had the same distinction in Columbus, OH, years earlier. Her father was born in Philadelphia, PA, and attended college. Her grandfather went from Virginia to look for work in Canada and became a stonemason. Later he relocated back to the United States, where he soon married in Boston, MA, and several of his children were born there. Later, the family moved to Philadelphia where Patricia’s father was born. Her mother, who attended Hampton Institute, taught school and later managed the office for Patricia’s father’s business. Patricia’s mother was born and raised in Richmond, as were most of her maternal relatives. Patricia had three brothers. They were all born during segregation in Richmond, the former capital of the Confederacy. Patricia was born on February 15, in Richmond. She attended kindergarten through eighth grade in segregated schools that were within walking distance of home. In school, they studied from hand-me-down books, but her black teachers were well trained and well informed. They had bachelor’s degrees; some had master’s or even PhD degrees. To go to high school, Patricia took a city bus across to the east side of town, to the newly built school for black students, which incorporated eighth grade through twelfth grade. Her teachers were excellent instructors who lived in her neighborhood and knew her parents quite well. The teachers looked out for the neighborhood kids and acted as surrogate parents out­side the confines of the home. Teachers and principals were also great mentors, dedicated to their craft; they encouraged students to understand the world and function as responsible adults. Patricia excelled in science and math.


2012 ◽  
Vol 134 (02) ◽  
pp. 32-33
Author(s):  
Kirk Teska

This article highlights the significance of being first in a patent system. In a first-to-file patent system, the inventor who files the first patent application wins the patent. All countries except the United States, until now, have first-to-file systems. The United States has been a first-to-invent country. That means, if two or more inventors apply to patent a similar idea, the inventor who can establish that he worked out the idea first will win the patent even if another inventor has filed a patent application first. Who was first to invent the idea can be decided by using a quasi-judicial procedure convened at the Patent Office called an “interference.” During an interference, first to invent means looking at both inventors’ invention conception dates and how and when they each reduced their inventions to practice. Lawyers are hired, invention notebooks are reviewed, and after a lot of time and money are spent, a winner is declared by a patent examiner.


2017 ◽  
Author(s):  
Cesare Righi ◽  
Timothy Simcoe
Keyword(s):  

2022 ◽  
Author(s):  
Yuki Hoshino ◽  
Yoshimasa Utsumi ◽  
Yoshiro Matsuda ◽  
Yoshitoshi Tanaka ◽  
Kazuhide Nakata

Abstract International patent classifications (IPCs) are assigned to patent documents; however, since the procedure for assigning classifications is manually done by the patent examiner, it takes a lot of time and effort to select some IPCs from about 70,000 IPCs. Hence, some research has been conducted on patent classification with machine learning. However, patent documents are very voluminous, and learning with all the claims (the part describing the content of the patent) as input would run out of the necessary memory. Therefore, most of the existing methods learn by excluding some information, such as using only the first claim as input. In this study, we propose a model that considers the contents of all claims by extracting important information for input. We also propose a new decoder that considers the hierarchical structure of the IPC. Finally, we evaluate the model using an evaluation index that assumes the actual use of IPC selection for patent documents.


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