{"title":"空间对象的Skyline查询:一种基于周围环境选择空间对象的方法","authors":"Zhiming Chen, M. Arefin, Y. Morimoto","doi":"10.1109/ICNC.2012.40","DOIUrl":null,"url":null,"abstract":"A skyline query finds objects that are not dominated by another object from a given set of objects. Skyline queries help us to filter unnecessary information efficiently and provide us clues for various decision making tasks. In this paper, we present a method for computing spatial skyline objects such as hotels. Conventional skyline queries select hotels based on non-spatial attributes of hotels such as price and rating. However, they do not utilize surrounding environments well. In contrast, the proposed method takes into account surrounding facilities of each hotel such as restaurants and supermarkets that are close to the hotel when we select skyline hotels. Like the hotel example, when we select a spatial object in a database, surrounding environment is as important as other attributes. Therefore, the proposed skyline query function is significant for spatial databases.","PeriodicalId":442973,"journal":{"name":"2012 Third International Conference on Networking and Computing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Skyline Queries for Spatial Objects: A Method for Selecting Spatial Objects Based on Surrounding Environments\",\"authors\":\"Zhiming Chen, M. Arefin, Y. Morimoto\",\"doi\":\"10.1109/ICNC.2012.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A skyline query finds objects that are not dominated by another object from a given set of objects. Skyline queries help us to filter unnecessary information efficiently and provide us clues for various decision making tasks. In this paper, we present a method for computing spatial skyline objects such as hotels. Conventional skyline queries select hotels based on non-spatial attributes of hotels such as price and rating. However, they do not utilize surrounding environments well. In contrast, the proposed method takes into account surrounding facilities of each hotel such as restaurants and supermarkets that are close to the hotel when we select skyline hotels. Like the hotel example, when we select a spatial object in a database, surrounding environment is as important as other attributes. Therefore, the proposed skyline query function is significant for spatial databases.\",\"PeriodicalId\":442973,\"journal\":{\"name\":\"2012 Third International Conference on Networking and Computing\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Conference on Networking and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNC.2012.40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Networking and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2012.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Skyline Queries for Spatial Objects: A Method for Selecting Spatial Objects Based on Surrounding Environments
A skyline query finds objects that are not dominated by another object from a given set of objects. Skyline queries help us to filter unnecessary information efficiently and provide us clues for various decision making tasks. In this paper, we present a method for computing spatial skyline objects such as hotels. Conventional skyline queries select hotels based on non-spatial attributes of hotels such as price and rating. However, they do not utilize surrounding environments well. In contrast, the proposed method takes into account surrounding facilities of each hotel such as restaurants and supermarkets that are close to the hotel when we select skyline hotels. Like the hotel example, when we select a spatial object in a database, surrounding environment is as important as other attributes. Therefore, the proposed skyline query function is significant for spatial databases.