Query Pattern-based Relational Data to XML Data Translation Algorithm

نویسندگان

  • Doo-Kwon Baik
  • Jinhyung Kim
  • Dongwon Jeong
چکیده

This paper proposes a new query pattern-based relational schema-to-XML schema translation (QP-T) algorithm to resolve implicit referential integrity issue. Various translation methods have been introduced on structural aspects and/or semantic aspects. However, most of conventional methods consider only explicit referential integrities specified by relational schema. It causes several problems such as incorrect transformation, abnormal relational model transition and so on. Researches about syntactic/semantic structure extraction also have been executed in reverse-engineering part. Many systems or algorithms suggested in Reverse Engineering researches are so complicate and not proper to RDB-to-XML translation. Some of them just consider syntactic structure extraction and others reflect every structure and constraints. That is, most of methods in reverse engineering part include unnecessary part. The QP-T algorithm analyzes query pattern and extract implicit referential integrities through equi-join between columns. The QP-T algorithm was based on a concept that columns related to equi-join in relational schema can have referential integrity. The most distinct contribution of QP-T algorithm was to enhance extraction of referential integrity relation information for translation. Therefore, the QP-T algorithm reflects not only explicit referential integrities but also implicit referential integrities during RDB-to-XML translation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Apply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...

متن کامل

Apply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML

As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...

متن کامل

Optimizing Fixed-Schema XML to SQL Query Translation

Recently, there has been a lot of work on evaluating XML queries over data stored in relational database systems. The vast majority of this work has focused on the cases where either the relational schema is not fixed (so the problem is to find a good relational schema for a given XML workload) or the XML schema is not fixed (so the problem is to develop generic strategies for exporting XML vie...

متن کامل

XML Query Processing: A Survey

XML (Extensible Markup Language) is emerging as a de facto standard for information exchange among various applications on the web because of its inherent data self-describing capability and flexibility of organizing data. With increased impact of XML on information exchange, it is particularly important to develop high-performance techniques to query large XML data repositories efficiently. Th...

متن کامل

Updating XML Views Of Relational Data

XML has emerged as the standard data format for Internet-based business applications. In many bussiness settings, a relational database management system(RDBMS) will serve as the storage manager for data from XML documents. In such a system, once the XML data is shredded and loaded into the storage system, XML queries posed against these (now virtual) XML documents are processed by translating ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007