{"title":"商业智能中决策性自然语言“为什么”问题的处理","authors":"Meriem Amel Guessoum, Rahma Djiroun, K. Boukhalfa","doi":"10.1109/IACS.2017.7921945","DOIUrl":null,"url":null,"abstract":"Business Intelligence aims at providing information to non expert users to make appropriate decisions. To access decisional information, the decision maker should express his/her requirements in Natural Language interfaces instead of technical languages, to avoid IT designer dependency and formal language's unfamiliarity. A Natural Language query is formulated according to several types such as WH-questions as “What, Who, Where, etc.” questions, Keyword-like questions, etc. We focus on “Why-Question” and we present an approach handling this kind of question. We begin by modelling the Why-Question, then we present a mathematical model based on numerical analysis to detect the eventual Why-Questions answers. We propose a tool called Why-Question analyser implementing our approach. A preliminary evaluation is presented.","PeriodicalId":180504,"journal":{"name":"2017 8th International Conference on Information and Communication Systems (ICICS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Dealing with decisional natural language why-question in business intelligence\",\"authors\":\"Meriem Amel Guessoum, Rahma Djiroun, K. Boukhalfa\",\"doi\":\"10.1109/IACS.2017.7921945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Business Intelligence aims at providing information to non expert users to make appropriate decisions. To access decisional information, the decision maker should express his/her requirements in Natural Language interfaces instead of technical languages, to avoid IT designer dependency and formal language's unfamiliarity. A Natural Language query is formulated according to several types such as WH-questions as “What, Who, Where, etc.” questions, Keyword-like questions, etc. We focus on “Why-Question” and we present an approach handling this kind of question. We begin by modelling the Why-Question, then we present a mathematical model based on numerical analysis to detect the eventual Why-Questions answers. We propose a tool called Why-Question analyser implementing our approach. A preliminary evaluation is presented.\",\"PeriodicalId\":180504,\"journal\":{\"name\":\"2017 8th International Conference on Information and Communication Systems (ICICS)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 8th International Conference on Information and Communication Systems (ICICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IACS.2017.7921945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 8th International Conference on Information and Communication Systems (ICICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IACS.2017.7921945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dealing with decisional natural language why-question in business intelligence
Business Intelligence aims at providing information to non expert users to make appropriate decisions. To access decisional information, the decision maker should express his/her requirements in Natural Language interfaces instead of technical languages, to avoid IT designer dependency and formal language's unfamiliarity. A Natural Language query is formulated according to several types such as WH-questions as “What, Who, Where, etc.” questions, Keyword-like questions, etc. We focus on “Why-Question” and we present an approach handling this kind of question. We begin by modelling the Why-Question, then we present a mathematical model based on numerical analysis to detect the eventual Why-Questions answers. We propose a tool called Why-Question analyser implementing our approach. A preliminary evaluation is presented.