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Journal articles on the topic 'XML Databases'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Xiao, Yong, San Min Wang, and Guo Ding Chen. "Research on XML-Based Database Integration for Collaborative Design and Manufacture of Space Antenna." Materials Science Forum 532-533 (December 2006): 929–32. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.929.

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The technique of collaborative design and manufacture is not only very important, but also urgent necessary for space antenna. Building on unicode, XML provides the standard format describing data in various types, so it has the virtue of integrating heterogeneous databases. In this paper, the elementary research has been done on XML-based integrating technique for heterogeneous databases of space antenna. Firstly, the overall flow for collaborative design and manufacture of space antenna shows that five databases should be integrated. Secondly, a XML-based integration system frame is conceived for space antenna databases. Thirdly, an effective XML-based transformation mechanism is proposed for the data integration process between relational database and document-based database. Finally, the implement of XML-based database integration is demonstrated in a space antenna design.

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Elghandour, Iman, Ashraf Aboulnaga, Daniel C. Zilio, and Calisto Zuzarte. "Recommending XML physical designs for XML databases." VLDB Journal 22, no. 4 (November 10, 2012): 447–70. http://dx.doi.org/10.1007/s00778-012-0298-2.

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Wang, Dong Xiao, Long Ju Chen, Zhao Lin Wu, and Bao Liang Zhang. "Research and Implementation on Multi-Database System Based on XML." Applied Mechanics and Materials 157-158 (February 2012): 1413–19. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1413.

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This paper introduces advantages of XML as a data exchange format, and proposes a multi-database system architecture based on XML, a data exchange platform model. We takes full advantage of is the features of XML, including good extensibility and interactivity, to implement the XML-based integration program of heterogeneous databases, making all kinds of data described in a unified XML format. And we describe the actual workflow of the system in this model and theoretically analyze the implementation details of its core modules. Finally, the workflow and the multi-database work mode for users to access databases in the system model based on XML are presented.

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Zhang, Xiao Lin, Wan Li Wang, and Xiao Qi Lv. "Research on Technology of Medical Image Database and its Connection with HIS Database." Advanced Materials Research 267 (June 2011): 119–23. http://dx.doi.org/10.4028/www.scientific.net/amr.267.119.

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Medical digital image information storage standard and existing heterogeneous database technology were analyzed with view to the particularity of the standard for medical images; data in medical images were organized according to data organizational hierarchy in the DICOM standard and sophisticated relational databases were utilized to store medical images. Using XML as a middleware to connect medical image database to HIS and then through relational databases and XML transformation rules to complete the conversion of the two databases into XML document. The study indicated that the method is able to achieve the purpose of the connection of heterogeneous databases.

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Li, Wen Jie, Si Liu, and Yu Hu. "Research on XML-Based Exchanging System between Databases." Advanced Materials Research 651 (January 2013): 789–94. http://dx.doi.org/10.4028/www.scientific.net/amr.651.789.

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In homogeneous or heterogeneous databases, the main direction of research on XML-based information interaction between databases is taking XML as middleware to realize the information exchange between data in the environment of small and medium-sized databases. Considering the insufficiency of the traditional text file-based information interaction method, the paper puts forward an XML-based method of information exchanging between databases, and the corresponding database exchanging system is developed. The utmost feature and advantage of the system is taking hibernate XML mapping table file for converting middleware to realize information interaction between databases. The experiment result shows that the system provides a certain reference value for data mining and data warehouse.

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Bertino, E., and B. Catania. "Integrating XML and databases." IEEE Internet Computing 5, no. 4 (July 2001): 84–88. http://dx.doi.org/10.1109/4236.939454.

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Chaudhri, Akmal B. "Objects, XML and databases." Information and Software Technology 44, no. 4 (March 2002): 195–96. http://dx.doi.org/10.1016/s0950-5849(02)00008-3.

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Fakharaldien, Mohammed Adam Ibrahim, Jasni Mohamed Zain, Norrozila Sulaiman, and Tutut Herawan. "XRecursive." International Journal of Information Retrieval Research 1, no. 4 (October 2011): 53–65. http://dx.doi.org/10.4018/ijirr.2011100104.

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Storing XML documents in a relational database is a promising solution because relational databases are mature and scale very well. They have the advantages that in a relational database XML data and structured data can coexist making it possible to build application that involve both kinds of data with little extra effort. This paper proposes an alternative method named Xrecursive for mapping XML (eXtensible Markup Language) documents to RDB (Relational Databases). The Xrecursive method does not need a DTD (Document Text Definition) or XML schema. Further, it can be applied as a general solution for any XML data. The steps and algorithm of Xrecursive are given in details to describe how to use the storing structure to storage and query XML documents in relational database. The authors report their experimental results on a real database, showing that the performance of their Xrecursive algorithm achieves better results in terms of storage size, insertion time, mapping time, and reconstruction time as compared with that SUCXENT and XParent methods. In overall, Xrecursive performs better in term of query performances as compared to the both methods.

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Nie, Feng Ying, Fang Fei Wu, and Li Yong Wan. "Study on Integration Model of Heterogeneous Database Based on XML Technology." Advanced Materials Research 912-914 (April 2014): 1403–6. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1403.

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In order to solve the problem of data integration and sharing for heterogeneous database at various departments from enterprises, this paper analyses thoroughly how to use the XML technology to mask differences between the heterogeneous databases. This paper designs an integration model based on the various heterogeneous databases by using the XML database as the middle database. The integration model is applied in the fault diagnosis system, and a data-exchange platform based on BizTalk is designed. On the heterogeneous database model, the fault diagnosis system can meets the need of multiple heterogeneous databases.

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Paventhan, A., Kenji Takeda, Simon J. Cox, and Denis A. Nicole. "Federated Database Services for Wind Tunnel Experiment Workflows." Scientific Programming 14, no. 3-4 (2006): 173–84. http://dx.doi.org/10.1155/2006/729069.

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Enabling the full life cycle of scientific and engineering workflows requires robust middleware and services that support effective data management, near-realtime data movement and custom data processing. Many existing solutions exploit the database as a passive metadata catalog. In this paper, we present an approach that makes use of federation of databases to host data-centric wind tunnel application workflows. The user is able to compose customized application workflows based on database services. We provide a reference implementation that leverages typical business tools and technologies: Microsoft SQL Server for database services and Windows Workflow Foundation for workflow services. The application data and user's code are both hosted in federated databases. With the growing interest in XML Web Services in scientific Grids, and with databases beginning to support native XML types and XML Web services, we can expect the role of databases in scientific computation to grow in importance.

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Fong, Joseph, and Herbert Shiu. "An Interpreter Approach for Exporting Relational Data into XML Documents with Structured Export Markup Language." Journal of Database Management 23, no. 1 (January 2012): 49–77. http://dx.doi.org/10.4018/jdm.2012010103.

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Almost all enterprises use relational databases to handle real time business operations and most need to generate various XML documents for data exchanges internally among various departments and externally with business partners. Exporting data in a relational database to an XML document can be considered a data conversion process. Based on the four approaches for data conversion: Customized program, Interpretive transformer, Translator generator, and Logical level translation, this paper proposes a new interpretive approach using Structured Export Markup Language (SEML) interpreter for converting relational data into XML documents. The frameworks and languages proposed by other researchers are neither generic nor able to generate arbitrary XML documents. Therefore, SEML interpreter is a simple, user friendly, and complete solution with a new mark-up language ? SEML ? for data conversion. The solution can be used as a generic tool for extracting, transforming, and loading (ETL) purposes. In other words, the SEML interpreter is a solution for relational databases similar to what X-Query is for XML databases.

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Ma, Zongmin, Chengwei Li, and Li Yan. "Reengineering Probabilistic Relational Databases with Fuzzy Probability Measures into XML Model." Journal of Database Management 28, no. 3 (July 2017): 26–47. http://dx.doi.org/10.4018/jdm.2017070102.

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This paper concentrates on modeling probabilistic events with fuzzy probability measures in relational databases and XML (Extensible Markup Language). Instead of crisp probability degrees or interval probability degrees, fuzzy sets are applied to represent imprecise probability degrees in relational databases and XML. A probabilistic XML model with fuzzy probability measures is introduced, which incorporates fuzzy probability measures to handle imprecision and uncertainty. In particular, the formal approach to reengineering the relational database model with fuzzy probability measures into the DTD (document type definition) model with fuzzy probability measures is developed in the paper.

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FONG, JOSEPH, HERBERT SHIU, and JENNY WONG. "METHODOLOGY FOR DATA CONVERSION FROM XML DOCUMENTS TO RELATIONS USING EXTENSIBLE STYLESHEET LANGUAGE TRANSFORMATION." International Journal of Software Engineering and Knowledge Engineering 19, no. 02 (March 2009): 249–81. http://dx.doi.org/10.1142/s0218194009004131.

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Extensible Markup Language (XML) has been used for data-transport and data-transformation while the business sector continues to store critical business data in relational databases. Extracting relational data and formatting it into XML documents, and then converting XML documents back to relational structures, becomes a major daily activity. It is important to have an efficient methodology to handle this conversion between XML documents and relational data. This paper aims to perform data conversion from XML documents into relational databases. It proposes a prototype and algorithms for this conversion process. The pre-process is schema translation using an XML schema definition. The proposed approach is based on the needs of an Order Information System to suggest a methodology to gain the benefits provided by XML technology and relational database management systems. The methodology is a stepwise procedure using XML schema definition and Extensible Stylesheet Language Transformations (XSLT) to ensure that the data constraints are not scarified after data conversion. The implementation of the data conversion is performed by decomposing the XML document of a hierarchical tree model into normalized relations interrelated with their artifact primary keys and foreign keys. The transformation process is performed by XSLT. This paper will also demonstrate the entire conversion process through a detailed case study.

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Haw, Su-Cheng, and Emyliana Song. "Transforming data-centric eXtensible markup language into relational databases using hybrid approach." Bulletin of Electrical Engineering and Informatics 10, no. 6 (December 1, 2021): 3256–64. http://dx.doi.org/10.11591/eei.v10i6.2865.

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eXtensible markup language (XML) appeared internationally as the format for data representation over the web. Yet, most organizations are still utilising relational databases as their database solutions. As such, it is crucial to provide seamless integration via effective transformation between these database infrastructures. In this paper, we propose XML-REG to bridge these two technologies based on node-based and path-based approaches. The node-based approach is good to annotate each positional node uniquely, while the path-based approach provides summarised path information to join the nodes. On top of that, a new range labelling is also proposed to annotate nodes uniquely by ensuring the structural relationships are maintained between nodes. If a new node is to be added to the document, re-labelling is not required as the new label will be assigned to the node via the new proposed labelling scheme. Experimental evaluations indicated that the performance of XML-REG exceeded XMap, XRecursive, XAncestor and Mini-XML concerning storing time, query retrieval time and scalability. This research produces a core framework for XML to relational databases (RDB) mapping, which could be adopted in various industries.

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An, Yin. "Research of Heterogeneous Data Integration in Ship Design." Advanced Engineering Forum 6-7 (September 2012): 221–25. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.221.

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The China Ship Development and Design Center has built several separate database systems in the design center and the working groups. However, the data cannot be shared and exchanged due to no network connection as the secrecy provision limited. The paper presents the data integration method based on the XML to implement the data integration between the heterogeneous databases, which makes the data interactive convenient. The key technologies included the mapping from database to XML documents, the XML documents importing to database, querying and displaying XML documents were analyzed. The SQLToXML and XMLToSQL libraries are used to develop the program. The method has put into test, the result shows the design scheme is rationality and effective.

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Wang, Ya Ping, Jiang Hua Ge, Jun Peng Shao, S. T. Han, and Zhi Qiang Li. "Research for Data Exchange Technology of Heterogeneous Database Based on XML." Key Engineering Materials 392-394 (October 2008): 903–7. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.903.

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Aim at an existent problems of manufacturing enterprise data exchange between design and manufacturing software, this paper puts forward the solution of data exchange between heterogeneous database with XML, which is based on the systematical analysis of currently data exchange methods between heterogeneous databases, construct the data exchange model between heterogeneous database based on XML. It gives mainly mapping method which is used for data exchange between XML and relational database, and analyzes the algorithm of connecting relational database, in order to solve the problem of transparently interoperation of heterogeneous database and realize data integration and sharing between manufacturing enterprise heterogeneous database. So it provides effective methods.

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Liu, Xin. "Wireless Network Communication in the XML Metadata Storage of Wushu Historical Archives." Wireless Communications and Mobile Computing 2021 (November 8, 2021): 1–13. http://dx.doi.org/10.1155/2021/5171713.

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The wireless communication network has a huge promotion effect on data processing. As an important standard for internet data transmission, XML markup language is currently widely used in the internet. The rapid development of XML has brought fresh blood to the research of database. This article is aimed at studying the application of wireless network communication in the storage of the XML metadata database of Wushu Historical Archives. One part uses data load-balancing algorithms and two-way path constraint algorithms to conduct research on the metadata storage of XML databases, such as document size, document loading, and document query. Combining wireless technology and comparing with SGML and HTML, it highlights the flexibility and importance of XML database. The other part analyzes the XML database of Wushu Historical Archives itself and uses questionnaire surveys combined with the experience of 30 users randomly checked to provide constructive suggestions for the construction of XML database, such as strengthening the operation page design, text, and graphics. The experimental results show that the time consumed by the XML database in the case of bidirectional path indexing is 0.37 s, and the time consumed in the case of unidirectional path indexing is 0.27 s. This data shows that the application of wireless network communication technology has played an important role in the easy update and flexibility of the XML database. The data load capacity presented by the two path indexes is inconsistent; the current experience of XML database mainly focuses on the copy of the database quantity.

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ÜSTÜNKAYA, EKİN, ADNAN YAZICI, and ROY GEORGE. "FUZZY DATA REPRESENTATION AND QUERYING IN XML DATABASE." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, supp01 (February 2007): 43–57. http://dx.doi.org/10.1142/s0218488507004455.

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Real-world information including subjective opinions and judgments need imprecise data to be modeled for representation and querying in databases. The Extensible Markup Language (XML) has become a de-facto standard for data modeling and exchange in recent years. Efforts on modeling imprecision and representing such data in XML have not been fully developed. In this paper, an XML based fuzzy data representation and querying system is presented. Complex and imprecise data are represented using a fuzzy extension of XML. The representation forms the basis for a system which enables fuzzy querying on XML documents using XQuery, a XML query language. The system also enables restructuring of XML Schemas through merging of elements of the XML documents. By using this feature of the system, application specific XML Schema and XML documents can be generated from the existing documents.

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Brahmia, Zouhaier, Hind Hamrouni, and Rafik Bouaziz. "XML data manipulation in conventional and temporal XML databases: A survey." Computer Science Review 36 (May 2020): 100231. http://dx.doi.org/10.1016/j.cosrev.2020.100231.

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Papadakis, Nikos, Yannis Christodolou, Panagiotis Sartzetakis, and Kostas Papadakis. "Constraint satisfaction in XML temporal databases." International Journal of Reasoning-based Intelligent Systems 3, no. 1 (2011): 44. http://dx.doi.org/10.1504/ijris.2011.037740.

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Alon, Noga, Tova Milo, Frank Neven, Dan Suciu, and Victor Vianu. "Typechecking XML views of relational databases." ACM Transactions on Computational Logic 4, no. 3 (July 2003): 315–54. http://dx.doi.org/10.1145/772062.772065.

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Alagić, Suad. "Institutions: integrating objects, XML and databases." Information and Software Technology 44, no. 4 (March 2002): 207–16. http://dx.doi.org/10.1016/s0950-5849(02)00010-1.

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Dekeyser, Stijn, Jan Hidders, and Jan Paredaens. "A Transaction Model for XML Databases." World Wide Web 7, no. 1 (March 2004): 29–57. http://dx.doi.org/10.1023/b:wwwj.0000015864.75561.98.

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Widom, Jennifer, Adam Bosworth, Bruce Lindsay, Michael Stonebraker, Dan Suciu, and Michael J. Carey. "Of XML and databases (panel session)." ACM SIGMOD Record 29, no. 2 (June 2000): 576. http://dx.doi.org/10.1145/335191.335476.

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Chiu, Yu Bin, Huei Huang Chen, Chu Yen Liu, Shih Chih Chen, and Chung Wen Hung. "Efficient Storage and Retrieval of XML Documents Using XQuery." Advanced Materials Research 779-780 (September 2013): 1685–88. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.1685.

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XML has already been the standard of data interchange on the Internet. Nowadays, a large amount of data is represented in XML format. However, most of the critical data in businesses are still stored in relational database management systems. It is difficult to query XML databases because of its textual format. This research intends to tackle this problem, and we proposed a system to manage XML documents that could be queried by the query language XQuery. XML documents are stored in relational format and the XQuery expressions are translated into appropriate SQL queries. The results of the SQL queries are transformed into XML documents. Comparing with LegoDB System, our system reduces processing time to search a relation configuration and proposes a better translating and executing technique which is more efficiently.

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Vidakovic, Jovana, Sonja Ristic, Slavica Kordic, and Ivan Lukovic. "Extended tuple constraint type as a complex integrity constraint type in XML data model - definition and enforcement." Computer Science and Information Systems 15, no. 3 (2018): 821–43. http://dx.doi.org/10.2298/csis180324029v.

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A database management system (DBMS) is based on a data model whose concepts are used to express a database schema. Each data model has a specific set of integrity constraint types. There are integrity constraint types, such as key constraint, unique constraint and foreign key constraint that are supported by most DBMSs. Other, more complex constraint types are difficult to express and enforce and are mostly completely disregarded by actual DBMSs. The users have to manage those using custom procedures or triggers. eXtended Markup Language (XML) has become the universal format for representing and exchanging data. Very often XML data are generated from relational databases and exported to a target application or another database. In this context, integrity constraints play the essential role in preserving the original semantics of data. Integrity constraints have been extensively studied in the relational data model. Mechanisms provided by XML schema languages rely on a simple form of constraints that is sufficient neither for expressing semantic constraints commonly found in databases nor for expressing more complex constraints induced by the business rules of the system under study. In this paper we present a classification of constraint types in relational data model, discuss possible declarative mechanisms for their specification and enforcement in the XML data model, and illustrate our approach to the definition and enforcement of complex constraint types in the XML data model on the example of extended tuple constraint type.

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Chin, Swee-Mei, Su-Cheng Haw, and Fang-Fang Chua. "X-CM." International Journal of Information Retrieval Research 4, no. 4 (October 2014): 17–41. http://dx.doi.org/10.4018/ijirr.2014100102.

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The emergence of XML as the de facto for data exchange in the World Wide Web and the increase popularity of XML in the business application have urge momentum research on way to generate a well-formed XML document to store and maintain it in the databases. Thus, a good schema such as XML schema is undeniable needed in order to define the syntax and structure of the XML instance to ensure data integrity. Nevertheless, schemas serve as logical model rather than conceptual model where semantics of the underlying document are hardly expressed. As such, in this paper, the authors proposed X-CM, a new conceptual modeling for XML as the mechanism to model components of XML conceptually and to express the underlying semantic explicitly. First, the authors reviewed the semantics and structure of conceptual modeling of existing approaches. Then, the authors proposed their X-CM modeling construct and implemented X-CM in a university based scenario. Lastly, the authors summarized the evaluation result and comments provided by the XML database experts and evaluators based on the authors proposed model.

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Cheng Haw, Su, Samini Subramaniam, Wei Siang Lim, and Fang Fang Chua. "Hybridation of Labeling Schemes for Efficient Dynamic Updates." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 1 (October 1, 2016): 184. http://dx.doi.org/10.11591/ijeecs.v4.i1.pp184-194.

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<p>With XML as the leading standard for data representation over the Web, it is crucial to store and query XML data. However, relational databases are the dominant database technology in most organizations. Thus, replacing relational database with a pure XML database is not a wise choice. One most prominent solution is to map XML into relational database. This paper introduces a robust labeling scheme which is a hybrid labeling scheme combining the beauty features of extended range and ORDPATH schemes to supports dynamic updates. In addition, we also proposed a mapping scheme based on the hybrid labeling scheme. Our proposed approach is evaluated in terms of (i) loading time, (ii) storage size, (iii) query retrieval time, and (iv) dynamic updates time, as compared to ORDPATH and ME schemes. The experimental evaluation results shows that our proposed approach is scalable to support huge datasets and dynamic updates.</p>

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Mukhitova, A. A., A. S. Yerimbetova, V. B. Barakhnin, E. Daiyrbayeva, and A. Adalbek. "MODERN METHODS OF PROCESSING XML DATA IN RELATIONAL AND TEMPORARY XML DATABASES." SERIES PHYSICO-MATHEMATICAL 2, no. 342 (June 29, 2022): 92–111. http://dx.doi.org/10.32014/2022.2518-1726.132.

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Zhu, Yongjie, and Youcheng Li. "A Data Sharing and Integration Technology for Heterogeneous Databases." International Journal of Circuits, Systems and Signal Processing 16 (January 10, 2022): 232–38. http://dx.doi.org/10.46300/9106.2022.16.28.

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For a long time, there are a large number of heterogeneous databases on the network, and their heterogeneity is manifested in many aspects. With the development of enterprise informatization and e-government, the system database of each department constitutes a real heterogeneous database framework with its independence and autonomy in the network system of many different functional departments. This paper will design information sharing between heterogeneous databases of network database system of many similar functional departments by using XML data model. The solution of data sharing between heterogeneous databases can accelerate the integration of information systems with departments and businesses as the core among enterprises, form a broader and more efficient organic whole, improve the speed of business processing, broaden business coverage, and strengthen cooperation and exchange among enterprises. In addition, heterogeneous database sharing can avoid the waste of data resources caused by the heterogeneity of database, and promote the availability rate of data resources. Due to the advantages of XML data model, the system has good scalability.

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PHONHARATH, Chittaphone, Kenji HASHIMOTO, and Hiroyuki SEKI. "Deciding Schema k-Secrecy for XML Databases." IEICE Transactions on Information and Systems E96.D, no. 6 (2013): 1268–77. http://dx.doi.org/10.1587/transinf.e96.d.1268.

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Sun, Lili, and Yan Li. "Using Usage Control to Access XML Databases." International Journal of Information Systems in the Service Sector 1, no. 3 (July 2009): 32–44. http://dx.doi.org/10.4018/jisss.2009070102.

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Keating, John G., Denis Clancy, Thomas O'Connor, and Mary Ann Lyons. "Problems with Databases and the XML Solution." Archivium Hibernicum 58 (2004): 268. http://dx.doi.org/10.2307/25529641.

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Morrison, A. "Review: XML Databases and the Semantic Web." Computer Bulletin 45, no. 3 (May 1, 2003): 31. http://dx.doi.org/10.1093/combul/45.3.31-a.

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List, Johan, Vojkan Mihajlović, Georgina RamÍrez, Arjen P. de Vries, Djoerd Hiemstra, and Henk Ernst Blok. "TIJAH: Embracing IR Methods in XML Databases." Information Retrieval 8, no. 4 (December 2005): 547–70. http://dx.doi.org/10.1007/s10791-005-0747-2.

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Mandreoli, F., R. Martoglia, and E. Ronchetti. "Native Temporal Slicing Support for XML Databases." Open Information Science Journal 2, no. 2 (March 19, 2009): 2–9. http://dx.doi.org/10.2174/1874947x00902020002.

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Schmidt, Albrecht, Florian Waas, Martin Kersten, Daniela Florescu, Michael J. Carey, Ioana Manolescu, and Ralph Busse. "Why and how to benchmark XML databases." ACM SIGMOD Record 30, no. 3 (September 2001): 27–32. http://dx.doi.org/10.1145/603867.603872.

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May, Norman, Sven Helmer, and Guido Moerkotte. "Strategies for query unnesting in XML databases." ACM Transactions on Database Systems 31, no. 3 (September 2006): 968–1013. http://dx.doi.org/10.1145/1166074.1166081.

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Vela, Belén, Eduardo Fernández-Medina, Esperanza Marcos, and Mario Piattini. "Model driven development of secure XML databases." ACM SIGMOD Record 35, no. 3 (September 2006): 22–27. http://dx.doi.org/10.1145/1168092.1168095.

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Che, Dunren, Karl Aberer, and M. Tamer Özsu. "Query optimization in XML structured-document databases." VLDB Journal 15, no. 3 (April 28, 2006): 263–89. http://dx.doi.org/10.1007/s00778-005-0172-6.

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Ho, Richard, Li Bai, and David Elliman. "A new data model for XML databases." International Journal of Intelligent Systems in Accounting, Finance & Management 11, no. 3 (July 2002): 149–57. http://dx.doi.org/10.1002/isaf.219.

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Zhong, Hao. "An Access Control Model for XML Repositories." Applied Mechanics and Materials 397-400 (September 2013): 2360–66. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2360.

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The XML documents are nested and semi-structured, but the traditional access control mechanism is coarse-grained and not applicable. We proposed an XML access control model (XACM) for XML repository. The XACM provides a fine granular definition for XML authorizations, which is based on the self-description characteristic of XML. We also discuss how to use the XACM to automatically preserve the access control policy, when relational databases are published as XML documents. Finally, we present the implementation of the XACM in an actual XML publisher system. Comparing with existing related works, the XACM is more flexible, efficient and less overheads.

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Morisawa, Hiraku, Hisashi Hisatomi, Mikako Hirota, and Tosifusa Toda. "Collaborative proteomics framework with XML databases and an integrated XML viewer for 2DPAGE." Journal of Electrophoresis 49, no. 1 (2005): 35–38. http://dx.doi.org/10.2198/jelectroph.49.35.

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FONG, JOSEPH, HERBERT SHIU, and YIN FEI YEUNG. "CONCURRENT DATA MATERIALIZATION FOR XML-ENABLED DATABASE WITH SEMANTIC METADATA." International Journal of Software Engineering and Knowledge Engineering 20, no. 03 (May 2010): 377–422. http://dx.doi.org/10.1142/s0218194010004748.

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For a company with many databases in different data models, it is necessary to consolidate them into one interchangeable data model and present data in more than one data model concurrently to different users or individual users who need to access the data in more than one data model. The benefit is to let the user stick to his/her own data model to access database in another data model. This paper presents a semantic metadata to preserve database constraints for data materialization to support the user's view of database on an ad hoc basis. The semantic metadata can store the captured semantics of a relational or an XML-enabled database into classes. The stored constraints and data can be materialized into a target database upon user request. The user is allowed to perform data materialization many times alternatively. The process can provide a relational as well as an XML view to the users simultaneously. This concurrent data materialization function can be applied into data warehouse to consolidate heterogeneous database into a fact table in a data model of user's choice. Furthermore, a user can obtain either a relational view or an XML view of the same dataset of an XML-enabled database interchangeably.

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Yusof, Mohd Kamir. "Efficiency of JSON for Data Retrieval in Big Data." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 1 (July 1, 2017): 250. http://dx.doi.org/10.11591/ijeecs.v7.i1.pp250-262.

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Big data is the latest industry buzzword to describe large volume of structured and unstructured data that can be difficult to process and analyze. Most of organization looking for the best approach to manage and analyze the large volume of data especially in making a decision. XML is chosen by many organization because of powerful approach during retrieval and storage processes. However, XML approach, the execution time for retrieving large volume of data are still considerably inefficient due to several factors. In this contribution, two databases approaches namely Extensible Markup Language (XML) and Java Object Notation (JSON) were investigated to evaluate their suitability for handling thousands records of publication data. The results showed JSON is the best choice for query retrieving speed and CPU usage. These are essential to cope with the characteristics of publication’s data. Whilst, XML and JSON technologies are relatively new to date in comparison to the relational database. Indeed, JSON technology demonstrates greater potential to become a key database technology for handling huge data due to increase of data annually.

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Andrade Ribeiro, Leonardo, and Theo Härder. "Pushing similarity joins down to the storage layer in XML databases." International Journal of Web Information Systems 13, no. 1 (April 18, 2017): 55–71. http://dx.doi.org/10.1108/ijwis-04-2016-0019.

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Purpose This article aims to explore how to incorporate similarity joins into XML database management systems (XDBMSs). The authors aim to provide seamless and efficient integration of similarity joins on tree-structured data into an XDBMS architecture. Design/methodology/approach The authors exploit XDBMS-specific features to efficiently generate XML tree representations for similarity matching. In particular, the authors push down a large part of the structural similarity evaluation close to the storage layer. Findings Empirical experiments were conducted to measure and compare accuracy, performance and scalability of the tree similarity join using different similarity functions and on the top of different storage models. The results show that the authors’ proposal delivers performance and scalability without hurting the accuracy. Originality/value Similarity join is a fundamental operation for data integration. Unfortunately, none of the XDBMS architectures proposed so far provides an efficient support for this operation. Evaluating similarity joins on XML is challenging, because it requires similarity matching on the text and structure. In this work, the authors integrate similarity joins into an XDBMS. To the best of the authors’ knowledge, this work is the first to leverage the storage scheme of an XDBMS to support XML similarity join processing.

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Zhou, Hong Bo. "An Integration Solution to Heterogeneous Database Based on XML." Advanced Materials Research 791-793 (September 2013): 1450–53. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1450.

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Different databases have different structure,how to co-share those heterogeneous database is becoming a challenge to all of us.The current database integration methods is more and more complex, operability is not very strong, the author proposes an XML interchange file to achieve the integration of heterogeneous database program.The system logic structure diagram is given in this paper,major function modules and structure are introduced in detail combined with graphic, and finally the characteristics of the system is summarized.

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Wang, Hong Min. "Research on Public Data Exchange Platform of OA System Based on XML." Advanced Materials Research 846-847 (November 2013): 1681–84. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1681.

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OA system widely used in government agencies, large enterprises and institutions. For data exchange between different application systems, the use of XML technology research public data exchange platform. First, the logical structure of public data exchange to achieve data exchange between application system, heterogeneous operating systems and databases; Then study XML data exchange, including the basics of XML, XML data exchange technical advantages, using XML processing data ways etc. Finally, study data exchange platform, XML data exchange technology makes data exchange simple and convenient. The content of this paper, to facilitate the development of data exchange between different systems, speed the development process, improve data reuse, reduce development costs, easy maintenance advantages.

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Al Hamad, Husam Ahmed. "RXML : Path-Based and XML DOM Approaches for Integrating Between Relational and XML Databases." International Journal of Database Management Systems 9, no. 5 (October 31, 2017): 1–10. http://dx.doi.org/10.5121/ijdms.2017.9501.

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YAN, Li, Zong-Min MA, Jian LIU, and Fu ZHANG. "XML Modeling of Fuzzy Data with Relational Databases." Chinese Journal of Computers 34, no. 2 (May 19, 2011): 291–303. http://dx.doi.org/10.3724/sp.j.1016.011.00291.

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