Dragan D. Kukolj, Sandra Nemet, Milana M. Barać, Franja Benčić
{"title":"Identification of Essential Patents in AI based Automotive Patent Portfolio","authors":"Dragan D. Kukolj, Sandra Nemet, Milana M. Barać, Franja Benčić","doi":"10.1109/ZINC.2019.8769335","DOIUrl":null,"url":null,"abstract":"With continuous development of automotive industry, a huge need for the analysis of patents that covers the key technologies applied in the automotive industry is expected. According to this fact, the identification of essential patents of the automotive industry patent portfolio is of great importance. This paper deals mainly with a methodology for identifying essential patents in a way those emphases the analysis of technical aspects of a patent, and not so much the market side. Based on technical attributes obtained from patent documents, patents are grouped and processed, and at the end, a small percentage of patents with high score is selected and determined as essential.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ZINC.2019.8769335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With continuous development of automotive industry, a huge need for the analysis of patents that covers the key technologies applied in the automotive industry is expected. According to this fact, the identification of essential patents of the automotive industry patent portfolio is of great importance. This paper deals mainly with a methodology for identifying essential patents in a way those emphases the analysis of technical aspects of a patent, and not so much the market side. Based on technical attributes obtained from patent documents, patents are grouped and processed, and at the end, a small percentage of patents with high score is selected and determined as essential.
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