Transforming Fuzzy Spatiotemporal Data From Relational Databases to XML
نویسندگان
چکیده
منابع مشابه
Computing Compressed XML Data from Relational Databases
SQL/XML allows generating an XML document as the result of a query that is evaluated on relational data. This facilitates companies sharing their relational data in form of XML documents with other companies or with a marketplace, but significantly increases the exchanged data volume. To reduce both the volume of the exchanged data by exchanging compressed XML and the time needed for compressio...
متن کاملIntegrating XML Data with Relational Databases
XML technology is pushing the world into the ecommerce era. Relational database systems, today's dominant data management tool for business, must be able to accommodate the XML data, since collecting, analyzing, mining and managing that data will be tremendously important tasks. In this paper, we investigate the problem of managing XML data in relational database systems. We are speci cally con...
متن کاملManaging XML Data to optimize Performance into Object-Relational Databases
This paper propose some possibilities for manage XML data in order to optimize performance into object-relational databases. It is detailed the possibility of storing XML data into such databases, using for exemplification an Oracle database and there are tested some optimizing techniques of the queries over XMLType tables, like indexing and partitioning tables.
متن کاملTransforming XML DTD to Relational Schema
As Extensible Markup Language (XML) 5] is emerging as the data format of the internet era, there are increasing needs to ee-ciently store and query XML data. One way towards this goal is using relational database by transforming XML data into relational format. In this paper, we argue that existing transformation algorithms are not complete in the sense that they focus only on structural aspect...
متن کاملModeling and Indexing Spatiotemporal Trajectory Data in Non-Relational Databases
With the ever-growing nature of spatiotemporal data, it is inevitable to use non-relational and distributed database systems for storing massive spatiotemporal datasets. In this chapter, the important aspects of non-relational (NoSQL) databases for storing large-scale spatiotemporal trajectory data are investigated. Mainly, two data storage schemata are proposed for storing trajectories, which ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2018
ISSN: 2169-3536
DOI: 10.1109/access.2018.2790427