 Study of automated text searching of U.S. patentsJ. Howard Bryant, Administrator for Automation, USA, U.S. Patent and Trademark Office, John Terapane and Allen Kiron World Patent Information, 1986, vol. 8, issue 1, 4-7 Abstract: A comparative study of automated full text searching of U.S. patent documents with manual, classified document searches was conducted by the U.S. Patent and Trademark Office in a number of technology areas. The same twelve patent applications from each technology were searched by two examiners using either computer terminals providing access to an electronic database containing the full text of the patents (but no drawings) or the classified paper files of the Office. Comparisons of the search methods were based on the actions taken by the examiners in rejecting or not rejecting the patent claims in the applications. Manual and automated full text searching resulted in similar claims actions but the documents cited were different. Overall automated text searching resulted in the citation of more references. About 28% of the cited references from automated searches could not have been found by manual searches since they were outside the classified fields of search. Date: 1986 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:worpat:v:8:y:1986:i:1:p:4-7 Ordering information: This journal article can be ordered from Access Statistics for this article World Patent Information is currently edited by Michael Blackman More articles in World Patent Information from Elsevier |
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