{"title":"基于类比的地质本体匹配相似度挖掘","authors":"Ujwala Bharambe, S. Durbha","doi":"10.1109/IGARSS.2014.6947491","DOIUrl":null,"url":null,"abstract":"Recently an emerging area that focuses on mining data across domains is Cross Domain Similarity Mining and analogical reasoning for data analysis. Geospatial domain is highly interdisciplinary with methods that incorporate multiple other domains; this research focuses on analogy reasoning using geo-ontology matching. Here a framework is proposed for analogy reasoning. Using an example of road networks, it is explained how analogy can be formulated and transferable and learnable patterns are generated.","PeriodicalId":385645,"journal":{"name":"2014 IEEE Geoscience and Remote Sensing Symposium","volume":"26 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analogy based similarity mining for geo-ontology matching\",\"authors\":\"Ujwala Bharambe, S. Durbha\",\"doi\":\"10.1109/IGARSS.2014.6947491\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently an emerging area that focuses on mining data across domains is Cross Domain Similarity Mining and analogical reasoning for data analysis. Geospatial domain is highly interdisciplinary with methods that incorporate multiple other domains; this research focuses on analogy reasoning using geo-ontology matching. Here a framework is proposed for analogy reasoning. Using an example of road networks, it is explained how analogy can be formulated and transferable and learnable patterns are generated.\",\"PeriodicalId\":385645,\"journal\":{\"name\":\"2014 IEEE Geoscience and Remote Sensing Symposium\",\"volume\":\"26 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Geoscience and Remote Sensing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.2014.6947491\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2014.6947491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analogy based similarity mining for geo-ontology matching
Recently an emerging area that focuses on mining data across domains is Cross Domain Similarity Mining and analogical reasoning for data analysis. Geospatial domain is highly interdisciplinary with methods that incorporate multiple other domains; this research focuses on analogy reasoning using geo-ontology matching. Here a framework is proposed for analogy reasoning. Using an example of road networks, it is explained how analogy can be formulated and transferable and learnable patterns are generated.
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