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Semantic Patent Analysis System Based on Big Data
- Shin, J.;
- Lee, S.;
- Wang, T.
초록
Today, the interest in the intellectual property rights is increasing, and the importance of the patents, one of the intellectual properties, is especially growing. Because patents include a lot of technical information such as paper, many things could be obtained through a patent analysis. However, patents include a large amount of data and the number of patents continues to grow. In addition, each country provides different formats of data and most of them are semi-structured or unstructured so it is not easy to analyze them. Therefore, in this paper, a big data-based patent analysis system is proposed to analyze these data efficiently. The proposed system makes different formats of patent data into a common format by utilizing a big data technology and provides an environment to easily analyze the patent data. © 2017 IEEE.
- 제목
- Semantic Patent Analysis System Based on Big Data
- 저자
- Shin, J.; Lee, S.; Wang, T.
- 발행일
- 2017
- 학회명
- 11th IEEE International Conference on Semantic Computing, ICSC 2017
- 학회 개최일
- 2017-01-30 ~ 2017-02-01