{"title":"Understanding and modeling the Deep Web for integrated environment","authors":"W. Liu, Jianjun Qi, Bo Tang, Li Zhao","doi":"10.1109/ICMLC.2012.6359548","DOIUrl":null,"url":null,"abstract":"More and more applications based on Deep Web data are developed recently. The key problem is the understanding and modeling of Deep Web capability in integrated environment Most recent papers only focus on the understanding and modeling of web query interfaces (e.g. interface modeling & extraction and so on). In fact, not only query interface capability should be considered but also the output schema of Deep Web, thus we propose a capability model of Deep Web in this paper. In query interface modeling, which is the input of Deep Web, we have considered the semantics and restriction of attributes in order to generate the corresponding query conditions. We use minimal query tree to describe the capability of Deep Web. In the query results page, we extract the data schema to describe richness of data and then to support Deep Web assembling.","PeriodicalId":128006,"journal":{"name":"2012 International Conference on Machine Learning and Cybernetics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2012.6359548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
More and more applications based on Deep Web data are developed recently. The key problem is the understanding and modeling of Deep Web capability in integrated environment Most recent papers only focus on the understanding and modeling of web query interfaces (e.g. interface modeling & extraction and so on). In fact, not only query interface capability should be considered but also the output schema of Deep Web, thus we propose a capability model of Deep Web in this paper. In query interface modeling, which is the input of Deep Web, we have considered the semantics and restriction of attributes in order to generate the corresponding query conditions. We use minimal query tree to describe the capability of Deep Web. In the query results page, we extract the data schema to describe richness of data and then to support Deep Web assembling.