Computer-Aided Comparison of Thesauri Extracted from Complementary Patent Classes as a Means to Identify Relevant Field Parameters

Patents are gaining a growing importance as a complementary source of technical information, since the information they disclose is not accessible in scientific and technical literature. Text mining technologies are emerging as a possible solution to increase the efficiency of patent analysis activities; besides, most of the existing systems are derived from general purpose applications that marginally leverage patents peculiarities. The authors are developing algorithm and tools fully dedicated to patent mining, i.e. information extraction from patent literature. The present paper aims at the identification of relevant technical parameters for a certain domain, through the comparison of thesauri automatically extracted from the given field of application and from its complementary patent classes.

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