{"title":"MDX2SPARQL: Semantic query mapping of OLAP query language to SPARQL","authors":"Haytem Boumhidi, E. Nfaoui, Youness Oubenaalla","doi":"10.1109/ISACV.2018.8354049","DOIUrl":null,"url":null,"abstract":"Currently, the amount of statistical linked data available on the Web is exponentially increasing. The need to exploit these data for analytical purposes becomes a priority. Online Analytical Processing (OLAP) presents a powerful solution for such task. However, OLAP systems require the implementation of Extract, Transform and Load (ETL) process. Furthermore, carrying out ETL on web data is time and materialization space consuming. This paper discusses an approach for directly querying the web data stored in RDF format (Resource Description Framework) as part of an OLAP interface through a mapping between MDX (MultiDimensional eXpressions) and SPARQL (Simple Protocol and RDF Query Language) without any materialization. This work proposes a first architecture validated by some scenarios. The obtained results shows the effectiveness of our method.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISACV.2018.8354049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Currently, the amount of statistical linked data available on the Web is exponentially increasing. The need to exploit these data for analytical purposes becomes a priority. Online Analytical Processing (OLAP) presents a powerful solution for such task. However, OLAP systems require the implementation of Extract, Transform and Load (ETL) process. Furthermore, carrying out ETL on web data is time and materialization space consuming. This paper discusses an approach for directly querying the web data stored in RDF format (Resource Description Framework) as part of an OLAP interface through a mapping between MDX (MultiDimensional eXpressions) and SPARQL (Simple Protocol and RDF Query Language) without any materialization. This work proposes a first architecture validated by some scenarios. The obtained results shows the effectiveness of our method.
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