extracting problem solved concepts from patent documents
In this paper, we report the results for the experiments we carried out to automatically extract "problem solved concepts" from a patent document. We introduce two approaches for finding important information in a patent document. The main focus of our work is to devise methods that can efficiently find the problems an invention solves, as this can help in searching for the prior art and can be used as a mechanism for relevance feedback. We have used software and business process patents to carry out our studies.
problem solved concepts relevance feedback. business process patents prior art search patent search patentability search software patents