{"title":"Data-transformation on historical data using the RDF data cube vocabulary","authors":"Sebastian P. Bayerl, M. Granitzer","doi":"10.1145/2809563.2809579","DOIUrl":null,"url":null,"abstract":"This work describes a Data-Integration process, in particular, how XML-based TEI documents with statistical data can be normalized, converted and enriched using the RDF Data Cube Vocabulary. Due to the their inherent complex structure, a simple row-by-row based conversion approach is not sufficient. Therefore, the complex structured tables must be validated, modified and transformed, until they are suitable for the standardized multi-dimensional data structure - the data cube. This paper will especially focus on the transformations necessary to normalize the structure of the tables. A second focus is on the advantages, which come by using the RDF Data Cube Vocabulary. Also, a research prototype was implemented to execute the workflow and convert the statistical data into data cubes.","PeriodicalId":20526,"journal":{"name":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","volume":"40 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2015-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2809563.2809579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This work describes a Data-Integration process, in particular, how XML-based TEI documents with statistical data can be normalized, converted and enriched using the RDF Data Cube Vocabulary. Due to the their inherent complex structure, a simple row-by-row based conversion approach is not sufficient. Therefore, the complex structured tables must be validated, modified and transformed, until they are suitable for the standardized multi-dimensional data structure - the data cube. This paper will especially focus on the transformations necessary to normalize the structure of the tables. A second focus is on the advantages, which come by using the RDF Data Cube Vocabulary. Also, a research prototype was implemented to execute the workflow and convert the statistical data into data cubes.
这项工作描述了一个数据集成过程，特别是如何使用RDF data Cube Vocabulary规范化、转换和丰富具有统计数据的基于xml的TEI文档。由于它们固有的复杂结构，简单的逐行转换方法是不够的。因此，必须对复杂的结构化表进行验证、修改和转换，直到它们适合标准化的多维数据结构——数据立方体。本文将特别关注规范化表结构所需的转换。第二个重点是使用RDF Data Cube词汇表带来的优势。实现了一个研究原型，实现了工作流的执行和统计数据的多维数据集转换。
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