Linguistic Summarization Of Structured Patent Data
E. Y. Igde, Sami Aydoğan, Fatih Emre Boran, Diyar Akay · Zenodo (CERN European Organization for Nuclear Research) · 2017
Patent data have an increasingly important role in economic growth, innovation, technical advantages and business strategies and even in countries competitions. Analyzing of patent data is crucial since patents cover large part of all technological information of the world. In this paper, we have used the linguistic summarization technique to prove the validity of the hypotheses related to patent data stated in the literature.