{"title":"使用RDF数据立方体词汇表对历史数据进行数据转换","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":"{\"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}","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
摘要
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。
Data-transformation on historical data using the RDF data cube vocabulary
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.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
