首页> 外文会议>International conference on Web engineering >Integrating bioinformatic data sources over the SFSU ER design tools XML databus
【24h】

Integrating bioinformatic data sources over the SFSU ER design tools XML databus

机译:通过SFSU ER设计工具XML数据总线集成生物信息学数据源

获取原文

摘要

The SFSU ER Design Tools were developed to support database design and data integration over multiple implementation data models. These tools allow users to enter and view Entity Relationship (ER) schemas and to translate ER schemas into a variety of equivalent implementation schemas, including Relational (ANSI SQL2), Object Oriented (ODMG 3.0), Spreadsheet (Universal Relation with associated functional dependencies) and W3C XML DTD. In addition, for each implementation data model, the Tools generate DDL statements to create a database, as well as simple JDBC/ODBC based code to dump stored data into an XML file and to load data from an XML file into a database. Data can be transferred from one data store to another over an HTTP based XML Databus. In this paper we describe the design and implementation of our XML Databus using Web Services, as well as a new strategy to support integration of bioinformatics data sets. We first manually identify semantically equivalent attributesin both schemas, then automatically join the corresponding data sets into a single integrated collection of XML formatted data. Our software is operational, and preliminary performance measurements over DTD and data downloaded from the NIH-NCBI Web site show that our strategy is feasible for moderately sized data sets.
机译:SFSU ER设计工具的开发旨在支持多个实施数据模型上的数据库设计和数据集成。这些工具允许用户输入和查看实体关系(ER)架构,并将ER架构转换为各种等效的实现架构,包括关系(ANSI SQL2),面向对象(ODMG 3.0),电子表格(具有关联功能依赖项的通用关系)和W3C XML DTD。此外,对于每种实现数据模型,工具都会生成DDL语句以创建,以及基于JDBC / ODBC的简单代码将存储的数据转储到XML文件中。并将数据从XML文件加载到数据库中。可以通过基于HTTP的XML数据总线将数据从一个数据存储传输到另一数据存储。在本文中,我们描述了使用Web服务的XML数据总线的设计和实现,以及支持生物信息学数据集集成的新策略。我们首先在两个模式中手动标识在语义上等效的属性,然后将相应的数据集自动连接到XML格式数据的单个集成集合中。我们的软件正在运行,并且通过DTD进行的初步性能测量以及从NIH-NCBI网站下载的数据表明,我们的策略对于中等大小的数据集是可行的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号