Marwa Boulakbech, Nizar Messai, Yacine Sam, T. Devogele
{"title":"一个智能MobiWeb混搭旅行计划工具","authors":"Marwa Boulakbech, Nizar Messai, Yacine Sam, T. Devogele","doi":"10.1145/3019612.3019917","DOIUrl":null,"url":null,"abstract":"A wide range of Mobile Web-based applications are nowadays being built and proposed as mashup applications. Their aim is to be intuitive enough to be easily created by end-users directly selecting interactive elements, content and functionalities from existing resources, without requiring any technical skills. We propose in this article a Mobile Web Trip Planner Tool that mashups heterogeneous online travel information provided from multiple Restful Web services to recommend custom visit plans. This application takes into account tourist preferences (type of stay, interest) and constraints (duration, budget, locomotion modality). Moreover, it considers real-time events (e.g., weather data or temporary unavailability of a touristic site) to adapt proposed schedules.","PeriodicalId":20728,"journal":{"name":"Proceedings of the Symposium on Applied Computing","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A smart MobiWeb mashup trip planner tool\",\"authors\":\"Marwa Boulakbech, Nizar Messai, Yacine Sam, T. Devogele\",\"doi\":\"10.1145/3019612.3019917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A wide range of Mobile Web-based applications are nowadays being built and proposed as mashup applications. Their aim is to be intuitive enough to be easily created by end-users directly selecting interactive elements, content and functionalities from existing resources, without requiring any technical skills. We propose in this article a Mobile Web Trip Planner Tool that mashups heterogeneous online travel information provided from multiple Restful Web services to recommend custom visit plans. This application takes into account tourist preferences (type of stay, interest) and constraints (duration, budget, locomotion modality). Moreover, it considers real-time events (e.g., weather data or temporary unavailability of a touristic site) to adapt proposed schedules.\",\"PeriodicalId\":20728,\"journal\":{\"name\":\"Proceedings of the Symposium on Applied Computing\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Symposium on Applied Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3019612.3019917\",\"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 Symposium on Applied Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3019612.3019917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A wide range of Mobile Web-based applications are nowadays being built and proposed as mashup applications. Their aim is to be intuitive enough to be easily created by end-users directly selecting interactive elements, content and functionalities from existing resources, without requiring any technical skills. We propose in this article a Mobile Web Trip Planner Tool that mashups heterogeneous online travel information provided from multiple Restful Web services to recommend custom visit plans. This application takes into account tourist preferences (type of stay, interest) and constraints (duration, budget, locomotion modality). Moreover, it considers real-time events (e.g., weather data or temporary unavailability of a touristic site) to adapt proposed schedules.
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