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
Link To Document :
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