XMapDB-Sim: Performance Evalaution on Model-based XML to Relational Database Mapping Choices

Haw, Su-Cheng; Song, Emyliana; Azhar, Nur Amirah; Amin, Aisyah

doi:10.11591/ijeecs.v7.i2.pp551-566

Cited by 5 publications

References 9 publications

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An Efficient Prefix-Based Labeling Scheme for XML Dynamic Updates Using Hexagonal Pattern

Qtaish¹,

Alshudukhi²

2022

IEEE Access

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To improve XML query processing, it is necessary to label XML documents efficiently for the indexing process because it allows the structural relationships between the XML nodes to be preserved without having to access the original document. However, XML data on the Web is updated as time passes, which means that the dynamic updating of XML data is an issue that may need to be handled by a XML labeling scheme specifically designed for dynamic updates. Previous XML labeling schemes have limitations when updates take place. For example, a lot of node labels need to be relabeled, a lot of duplicate labels occur during this relabeling process, and the size and time costs of the updated labels are high. Therefore, this paper proposes an efficient prefix-based labeling scheme that uses a hexagonal pattern. The proposed labeling scheme has three main advantages: (i) it avoids the need for node relabeling when XML documents are updated at random locations, (ii) it avoids duplicated labels by creating a new label for every inserted node, and (iii) it reduces the size and time costs of the updated labels. The proposed scheme is evaluated against the three most recent prefix-based labeling schemes in terms of the size and time costs of the updated labels. In addition, the ability of the proposed labeling scheme to handle several updates (such as insertions) in XML documents is also evaluated. The evaluations show that the proposed labeling scheme outperforms previously developed prefix-based labeling schemes in terms of both size and time costs, particularly for large-scale XML datasets, resulting in improved query processing performance. Moreover, the proposed scheme efficiently supports frequent updates at arbitrary positions. The paper concludes with several suggestions for further research.

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An Efficient Prefix-Based Labeling Scheme for XML Dynamic Updates Using Hexagonal Pattern

Qtaish¹,

Alshudukhi²

2022

IEEE Access

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Handling XML to Relational Database Transformation Using Model-Based Mapping Approaches

Song

Haw

Chua

2018

2018 IEEE Conference on Open Systems (ICOS)

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A Narrative Review of Storing and Querying XML Documents Using Relational Database

Qtaish

Alshammari

2019

J. Info. Know. Mgmt.

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Extensible Markup Language (XML) has become a common language for data interchange and data representation in the Web. The evolution of the big data environment and the large volume of data which is being represented by XML on the Web increase the challenges in effectively managing such data in terms of storing and querying. Numerous solutions have been introduced to store and query XML data, including the file systems, Object-Oriented Database (OODB), Native XML Database (NXD), and Relational Database (RDB). Previous research attempts indicate that RDB is the most powerful technology for managing XML data to date. Because of the structure variations of XML and RDB, the need to map XML data to an RDB scheme is increased. This growth has prompted numerous researchers and database vendors to propose different approaches to map XML documents to an RDB, translating different types of XPath queries to SQL queries and returning the results to an XML format. This paper aims to comprehensively review most cited and latest mapping approaches and database vendors that use RDB solution to store and query XML documents, in a narrative manner. The advantages and the drawbacks of each approach is discussed, particularly in terms of storing and querying. The paper also provides some insight into managing XML documents using RDB solution in terms of storing and querying and contributes to the XML community.

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XMapDB-Sim: Performance Evalaution on Model-based XML to Relational Database Mapping Choices

Cited by 5 publications

References 9 publications

An Efficient Prefix-Based Labeling Scheme for XML Dynamic Updates Using Hexagonal Pattern

An Efficient Prefix-Based Labeling Scheme for XML Dynamic Updates Using Hexagonal Pattern

Handling XML to Relational Database Transformation Using Model-Based Mapping Approaches

A Narrative Review of Storing and Querying XML Documents Using Relational Database

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