{"title":"专利组合分类分布的三维树状图分析方法","authors":"Mark Giereth, H. Bosch, T. Ertl","doi":"10.1109/VAST.2008.4677380","DOIUrl":null,"url":null,"abstract":"Due to the complexity of the patent domain and the huge amount of data, advanced interactive visual techniques are needed to support the analysis of large patent collections and portfolios. In this paper we present a new approach for visualizing the classificatory distribution of patent collections among the International Patent Classification (IPC) - todaypsilas most important internationally agreed patent classification system with about 70.000 categories. Our approach is based on an interactive three-dimensional treemap overlaid with adjacency edge bundles.","PeriodicalId":213107,"journal":{"name":"2008 IEEE Symposium on Visual Analytics Science and Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"A 3D treemap approach for analyzing the classificatory distribution in patent portfolios\",\"authors\":\"Mark Giereth, H. Bosch, T. Ertl\",\"doi\":\"10.1109/VAST.2008.4677380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the complexity of the patent domain and the huge amount of data, advanced interactive visual techniques are needed to support the analysis of large patent collections and portfolios. In this paper we present a new approach for visualizing the classificatory distribution of patent collections among the International Patent Classification (IPC) - todaypsilas most important internationally agreed patent classification system with about 70.000 categories. Our approach is based on an interactive three-dimensional treemap overlaid with adjacency edge bundles.\",\"PeriodicalId\":213107,\"journal\":{\"name\":\"2008 IEEE Symposium on Visual Analytics Science and Technology\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Symposium on Visual Analytics Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VAST.2008.4677380\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Symposium on Visual Analytics Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VAST.2008.4677380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A 3D treemap approach for analyzing the classificatory distribution in patent portfolios
Due to the complexity of the patent domain and the huge amount of data, advanced interactive visual techniques are needed to support the analysis of large patent collections and portfolios. In this paper we present a new approach for visualizing the classificatory distribution of patent collections among the International Patent Classification (IPC) - todaypsilas most important internationally agreed patent classification system with about 70.000 categories. Our approach is based on an interactive three-dimensional treemap overlaid with adjacency edge bundles.
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