XML data manipulation in conventional and temporal XML databases: A survey

Brahmia, Zouhaier; Hamrouni, Hind; Bouaziz, Rafik

doi:10.1016/j.cosrev.2020.100231

Cited by 18 publications

(14 citation statements)

References 73 publications

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“…The above mentioned researches depict several variables important for XML schema quality evaluation and measurement, although they stay mostly on the data level, and do not address the quality aspects affecting the Knowledge Management based on XML schema defined documents. The main focus on the data level quality, respectively, data bases and XML schemas, is evident in papers [20] and [21], enforcing the important connection of XML schemas and data sources. According to [2], the integration of heterogeneous data sources has become a central problem of modern computing, especially in domains where data currently reside in many different formats.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of XML Schema Support in Knowledge Management

Šumak¹,

Heričko²,

Pušnik³

2020

Frontiers in Artificial Intelligence and Applications

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Well organized data contributes extensively to the classification possibilities and quality of Knowledge Management. XML schemas play an important role in data organization activities, and provide basic foundations for companies and organizations dealing with large amounts of data. In times where knowledge represents the greatest advantage in a competitive economy and is relatively simple to find through different web providers, the quality of internal data structures and efficient management of a company’s valuable information is of the utmost importance. XML schemas are one of the mechanisms that can provide a data organization system in a qualitative manner, and efficient knowledge management as soon as data have been defined or accumulated. A good XML schema support is a way to increase the competitiveness of an organization by ensuring structured data quality and simplifying the Knowledge Management process.

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Section: Related Workmentioning

confidence: 99%

Evaluation of XML Schema Support in Knowledge Management

Šumak¹,

Heričko²,

Pušnik³

2020

Frontiers in Artificial Intelligence and Applications

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“…Therefore, how to ensure the normal storage of gateway data has become one of the core tasks of scholars in related fields [ 5 , 6 ].Traditional serialization techniques, such as XML [ 7 ] and JSON [ 8 , 9 ], have been widely used in various network information storage and exchange centers due to their good readability. However, both XML and JSON need to change the format and redeploy the program.…”

Section: Introductionmentioning

confidence: 99%

Research on optimization of real-time efficient storage algorithm in data information serialization

Huang

Tang²

2021

PLoS ONE

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Background Along with the vigorous development of Internet technology, increasing the functions of the various types of equipment, network communication easy and diversity, at the same time, the amount of data is very huge, under the network bandwidth limitations, through long lead to a data need to be cut into more, one by one, transfer times, information delay problems. Results Aiming at the problems of poor data integrity, low efficiency and poor serialization efficiency of traditional data storage information, this article introduces Protobuf technology to study the serialization of data storage information. The serpentine gap method is used to complete the allocation interval of the sequence nodes, so that the working state and the resting state always maintain a dynamic balance. According to the first-level rules, the storage data of the completed target node is obtained, and the grammatical structure and the semantics of the target data are analyzed, Meanwhile corresponding correspondences are established, and the data storage information is serialized. In order to verify the effectiveness of Protobuf’s data storage information serialization method, a comparative experiment is designed. By using three methods of HDVM, Redis and Protobuf to serialize JSON data, the comparative analysis shows that HDVM has the longest processing time and Protobuf has the shortest processing time, and the data integrity is not affected. The simulation data shows that the Protobuf serialization method has short conversion time, high space utilization, and the Obvious advantages in correctness and integrity. It is vary suitable for serialization of JSON data in the case of limited bandwidth.

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“…Similar to Hypertext Markup Language (HTML), XML is a tag-based syntax, yet, XML can represent data within its context and is readable by machines and humans as it utilizes a natural language. 1,2 Since the emergence of XML, many approaches to map XML into Relational DataBase (RDB) have existed. 3,4 Dynamic Prefix-based Labeling Scheme (DPLS) 5 extended the Dewey scheme 6,7 and is based on a two stage approach: (i) constructing the initial DPLS labeling and (ii) handling any updates.…”

Section: Introductionmentioning

confidence: 99%

Improving the support for XML dynamic updates using a hybridization labeling scheme (ORD-GAP)

et al. 2021

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Background: As the standard for the exchange of data over the World Wide Web, it is important to ensure that the eXtensible Markup Language (XML) database is capable of supporting not only efficient query processing but also capable of enduring frequent data update operations over the dynamic changes of Web content. Most of the existing XML annotation is based on a labeling scheme to identify each hierarchical position of the XML nodes. This computation is costly as any updates will cause the whole XML tree to be re-labelled. This impact can be observed on large datasets. Therefore, a robust labeling scheme that avoids re-labeling is crucial. Method: Here, we present ORD-GAP (named after Order Gap), a robust and persistent XML labeling scheme that supports dynamic updates. ORD-GAP assigns unique identifiers with gaps in-between XML nodes, which could easily identify the level, Parent-Child (P-C), Ancestor-Descendant (A-D) and sibling relationship. ORD-GAP adopts the OrdPath labeling scheme for any future insertion. Results: We demonstrate that ORD-GAP is robust enough for dynamic updates, and have implemented it in three use cases: (i) left-most, (ii) in-between and (iii) right-most insertion. Experimental evaluations on DBLP dataset demonstrated that ORD-GAP outperformed existing approaches such as ORDPath and ME Labeling concerning database storage size, data loading time and query retrieval. On average, ORD-GAP has the best storing and query retrieval time. Conclusion: The main contributions of this paper are: (i) A robust labeling scheme named ORD-GAP that assigns certain gap between each node to support future insertion, and (ii) An efficient mapping scheme, which built upon ORD-GAP labeling scheme to transform XML into RDB effectively.

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XML data manipulation in conventional and temporal XML databases: A survey

Cited by 18 publications

References 73 publications

Evaluation of XML Schema Support in Knowledge Management

Evaluation of XML Schema Support in Knowledge Management

Research on optimization of real-time efficient storage algorithm in data information serialization

Improving the support for XML dynamic updates using a hybridization labeling scheme (ORD-GAP)

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