Patent Mining

Creative Commons License

Kayakoku A., AKAY D.

JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, vol.24, no.2, pp.745-753, 2021 (ESCI) identifier identifier

  • Publication Type: Article / Review
  • Volume: 24 Issue: 2
  • Publication Date: 2021
  • Doi Number: 10.2339/politeknik.842663
  • Journal Indexes: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Page Numbers: pp.745-753
  • Keywords: Patent, patent mining, text mining, similarity detection, TECHNOLOGY, INFORMATION, SEARCH, ART
  • Hacettepe University Affiliated: No


Patent databases are the most significant technical information source of today with their continuously and rapidly growing volume. It becomes inevitable to apply developing data analysis method in order to obtain knowledge from quite large and detailed patent databases. Recently, in order to express knowledge discovery from patent data, the term - patent mining is used. Due to both the structural and non-structural character of patent databases, data mining techniques as well as text mining techniques are required for patent mining. Besides, since the patent documents consist of texts explaining the technical aspects of the inventions, text mining applications plays a more important role in this field. In this study, by referrring the properties of patent documents, the results that can be obtained with text mining are focused. Examples in the literature are given about text mining methods applied on patent documents and the significance of similarity detection between patent documents is explanied in order to leading future studies.