Lazaros Ioannidis, Charalampos Bratsas, Sotiris Karabatakis, Panagiotis-Marios Filippidis, P. Bamidis
{"title":"Rudolf: An HTTP API for exposing semantically represented fiscal OLAP cubes","authors":"Lazaros Ioannidis, Charalampos Bratsas, Sotiris Karabatakis, Panagiotis-Marios Filippidis, P. Bamidis","doi":"10.1109/SMAP.2016.7753406","DOIUrl":null,"url":null,"abstract":"OpenSpending is the world's largest repository of open fiscal datasets. As of now it only supported loading datasets from CSV files, leaving out more heavily-structured formats like RDF. Rudolf, an RDF backend has been developed to expose Data Cube RDF triples and OLAP operations in JSON format through an OpenSpending-compatible HTTP API. This API can be directly utilized by the OpenSpending Viewer application to transparently offer aggregate visualizations for RDF fiscal datasets out of the box.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMAP.2016.7753406","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
OpenSpending is the world's largest repository of open fiscal datasets. As of now it only supported loading datasets from CSV files, leaving out more heavily-structured formats like RDF. Rudolf, an RDF backend has been developed to expose Data Cube RDF triples and OLAP operations in JSON format through an OpenSpending-compatible HTTP API. This API can be directly utilized by the OpenSpending Viewer application to transparently offer aggregate visualizations for RDF fiscal datasets out of the box.