المستودع الأكاديمي جامعة المدينة

Evolution of Industry Knowledge in the Public Domain: Prior Art Searching for Software Patents

أعرض تسجيلة المادة بشكل مبسط

dc.creator Jinseok Park
dc.date 2005
dc.date.accessioned 2013-05-30T14:16:31Z
dc.date.available 2013-05-30T14:16:31Z
dc.date.issued 2013-05-30
dc.identifier http://www.law.ed.ac.uk/ahrb/script-ed/vol2-1/park.asp
dc.identifier http://www.doaj.org/doaj?func=openurl&genre=article&issn=17442567&date=2005&volume=2&issue=1&spage=47
dc.identifier.uri http://koha.mediu.edu.my:8181/jspui/handle/123456789/6093
dc.description Searching prior art is a key part of the patent application and examination processes. A comprehensive prior art search gives the inventor ideas as to how he can improve or circumvent existing technology by providing up to date knowledge on the state of the art. It also enables the patent applicant to minimise the likelihood of an objection from the patent office. This article explores the characteristics of prior art associated with software patents, dealing with difficulties in searching prior art due to the lack of resources, and considers public contribution to the formation of prior art databases. It addresses the evolution of electronic prior art in line with technological development, and discusses laws and practices in the EPO, USPTO, and the JPO in relation to the validity of prior art resources on the Internet. This article also investigates the main features of searching sources and tools in the three patent offices as well as non-patent literature databases. Based on the analysis of various searching databases, it provides some strategies of efficient prior art searching that should be considered for software-related inventions.
dc.publisher AHRB Research Centre for Studies in Intellectual Property and Technology Law
dc.source SCRIPT-ed
dc.title Evolution of Industry Knowledge in the Public Domain: Prior Art Searching for Software Patents


الملفات في هذه المادة

الملفات الحجم الصيغة عرض

لا توجد أي ملفات مرتبطة بهذه المادة.

هذه المادة تبدو في المجموعات التالية:

أعرض تسجيلة المادة بشكل مبسط