{"title":"一种基于语义感知的空间文本查询方案","authors":"Hongbo Li, Hong Zhu, Zongmin Cui","doi":"10.1145/3318265.3319613","DOIUrl":null,"url":null,"abstract":"In some application scenarios, the strategy based on text similarity cannot accurately find the spatial text data that users need. Therefore, we propose a spatial text query scheme based on semantic-aware. We name this scheme as SSA. We study spatial text queries based on semantic-aware. We improve LDA algorithm to filter out some worthless candidate data. The experimental results show that our scheme has good basic attributes and query accuracy.","PeriodicalId":241692,"journal":{"name":"Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A spatial text query scheme based on semantic-aware\",\"authors\":\"Hongbo Li, Hong Zhu, Zongmin Cui\",\"doi\":\"10.1145/3318265.3319613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In some application scenarios, the strategy based on text similarity cannot accurately find the spatial text data that users need. Therefore, we propose a spatial text query scheme based on semantic-aware. We name this scheme as SSA. We study spatial text queries based on semantic-aware. We improve LDA algorithm to filter out some worthless candidate data. The experimental results show that our scheme has good basic attributes and query accuracy.\",\"PeriodicalId\":241692,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3318265.3319613\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on High Performance Compilation, Computing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3318265.3319613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A spatial text query scheme based on semantic-aware
In some application scenarios, the strategy based on text similarity cannot accurately find the spatial text data that users need. Therefore, we propose a spatial text query scheme based on semantic-aware. We name this scheme as SSA. We study spatial text queries based on semantic-aware. We improve LDA algorithm to filter out some worthless candidate data. The experimental results show that our scheme has good basic attributes and query accuracy.