Title of article
Full-text prior art and chemical structure searching in e-journals and on the internet – A patent information professional’s perspective Original Research Article
Author/Authors
Maik Annies، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
7
From page
278
To page
284
Abstract
In depth analysis of non-patent literature prior art is a crucial step in checking patentability of new inventions and validity of competitor’s patents, since by patent law relevant subject matter disclosed in non-patent literature is as important as any patent document. E-journal articles, as well as any scientific and technical information published on the web are an important source of prior art that is very often insufficiently covered and indexed by commercial databases. This article reviews search and display capabilities of e-journal search sites of different publishers and hosts, as well as their value for full-text prior art analysis to enhance retrieval from commercial databases. Moreover, current developments and future prospects of chemical structure searching both in e-journals and on the internet are discussed.
Keywords
Application , Forecasting , Markov chain model , Time series , Stochastic process , European Patent Office , Patent , Applicant
Journal title
World Patent Information
Serial Year
2009
Journal title
World Patent Information
Record number
1230493
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