A Middleware for Polyglot Persistence of RDF Data into NoSQL Databases

Proceedings of the ... IEEE International Conference on Information Reuse and Integration. IEEE International Conference on Information Reuse and Integration Pub Date : 2019-07-01 DOI:10.1109/IRI.2019.00046

L. H. Z. Santana, R. Mello

{"title":"A Middleware for Polyglot Persistence of RDF Data into NoSQL Databases","authors":"L. H. Z. Santana, R. Mello","doi":"10.1109/IRI.2019.00046","DOIUrl":null,"url":null,"abstract":"Software engineers can consider today a multitude of storage solutions and data formats to achieve better performance, lower cost, or even explore the power expression of a data model to develop an application. We call it polyglot access. Nevertheless, the cost of developing polyglot software increases due, for instance, to the complexity of managing multiple connections to databases and the need for training people to use different tools, models and query languages. This paper presents a scalable middleware, called WA-RDF, that provides a unique gateway to multiple NoSQL databases. Different from other similar ideas, WA-RDF uses the well-known abstractions of Semantic Web to store and query RDF data into key/value, document and graph databases. Moreover, WA-RDF includes workload-awareness, fragmentation and partitioning components to meet the NoSQL high level of scalability. An experimental evaluation shows that the approach is promising. It scaled linearly to the dataset size and query frequency growth, and outperformed a multimodel database in the tested use cases.","PeriodicalId":89460,"journal":{"name":"Proceedings of the ... IEEE International Conference on Information Reuse and Integration. IEEE International Conference on Information Reuse and Integration","volume":"15 1","pages":"237-244"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... IEEE International Conference on Information Reuse and Integration. IEEE International Conference on Information Reuse and Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI.2019.00046","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

Software engineers can consider today a multitude of storage solutions and data formats to achieve better performance, lower cost, or even explore the power expression of a data model to develop an application. We call it polyglot access. Nevertheless, the cost of developing polyglot software increases due, for instance, to the complexity of managing multiple connections to databases and the need for training people to use different tools, models and query languages. This paper presents a scalable middleware, called WA-RDF, that provides a unique gateway to multiple NoSQL databases. Different from other similar ideas, WA-RDF uses the well-known abstractions of Semantic Web to store and query RDF data into key/value, document and graph databases. Moreover, WA-RDF includes workload-awareness, fragmentation and partitioning components to meet the NoSQL high level of scalability. An experimental evaluation shows that the approach is promising. It scaled linearly to the dataset size and query frequency growth, and outperformed a multimodel database in the tested use cases.

查看原文本刊更多论文

用于将RDF数据多语言持久化到NoSQL数据库的中间件

如今，软件工程师可以考虑多种存储解决方案和数据格式，以实现更好的性能、更低的成本，甚至可以探索数据模型的强大表达来开发应用程序。我们称之为多语言访问。然而，开发多语言软件的成本增加了，例如，由于管理多个数据库连接的复杂性，以及需要培训人们使用不同的工具、模型和查询语言。本文提出了一种可扩展的中间件，称为WA-RDF，它为多个NoSQL数据库提供了唯一的网关。与其他类似的思想不同，WA-RDF使用众所周知的语义Web抽象来将RDF数据存储和查询到键/值、文档和图形数据库中。此外，WA-RDF还包括工作负载感知、碎片和分区组件，以满足NoSQL的高可伸缩性。实验结果表明，该方法是可行的。它与数据集大小和查询频率的增长呈线性关系，并且在测试用例中优于多模型数据库。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of the ... IEEE International Conference on Information Reuse and Integration. IEEE International Conference on Information Reuse and Integration

自引率

0.00%

发文量