{"title":"隔离对数据库的常见自然语言查询中的重要短语","authors":"M. M. Hoque, M.S. Mahbub, S. Al-Mamun","doi":"10.1109/ICCITECHN.2008.4803022","DOIUrl":null,"url":null,"abstract":"This paper describes a novel methodology for extracting significant phrases from common natural language queries to databases. We show the usability of the methodology for developing database front ends, and propose it as an acceptable alternative to developers of databases that are supposed to be subject to massive interaction by non-technical people. Here we localize the matching procedures by isolating the phrases that are important for mapping the queries to database details, and propose to use heuristics and soft computing techniques for inexact matching of the phrases.","PeriodicalId":335795,"journal":{"name":"2008 11th International Conference on Computer and Information Technology","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Isolating significant phrases in common natural language queries to databases\",\"authors\":\"M. M. Hoque, M.S. Mahbub, S. Al-Mamun\",\"doi\":\"10.1109/ICCITECHN.2008.4803022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a novel methodology for extracting significant phrases from common natural language queries to databases. We show the usability of the methodology for developing database front ends, and propose it as an acceptable alternative to developers of databases that are supposed to be subject to massive interaction by non-technical people. Here we localize the matching procedures by isolating the phrases that are important for mapping the queries to database details, and propose to use heuristics and soft computing techniques for inexact matching of the phrases.\",\"PeriodicalId\":335795,\"journal\":{\"name\":\"2008 11th International Conference on Computer and Information Technology\",\"volume\":\"183 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 11th International Conference on Computer and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCITECHN.2008.4803022\",\"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 11th International Conference on Computer and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITECHN.2008.4803022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Isolating significant phrases in common natural language queries to databases
This paper describes a novel methodology for extracting significant phrases from common natural language queries to databases. We show the usability of the methodology for developing database front ends, and propose it as an acceptable alternative to developers of databases that are supposed to be subject to massive interaction by non-technical people. Here we localize the matching procedures by isolating the phrases that are important for mapping the queries to database details, and propose to use heuristics and soft computing techniques for inexact matching of the phrases.
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