TY - JFULL AU - E. Y. Igde and S. Aydogan and F. E. Boran and D. Akay PY - 2017/10/ TI - Linguistic Summarization of Structured Patent Data T2 - International Journal of Computer and Information Engineering SP - 1061 EP - 1065 VL - 11 SN - 1307-6892 UR - https://publications.waset.org/pdf/10007940 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 129, 2017 N2 - 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. ER -