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Active XML-based Web data integration

Author

Listed:
  • Rashed Salem

    (Université de Lyon (ERIC Lyon 2))

  • Omar Boussaïd

    (Université de Lyon (ERIC Lyon 2))

  • Jérôme Darmont

    (Université de Lyon (ERIC Lyon 2))

Abstract

Today, the Web is the largest source of information worldwide. There is currently a strong trend for decision-making applications such as Data Warehousing (DW) and Business Intelligence (BI) to move onto the Web, especially in the cloud. Integrating data into DW/BI applications is a critical and time-consuming task. To make better decisions in DW/BI applications, next generation data integration poses new requirements to data integration systems, over those posed by traditional data integration. In this paper, we propose a generic, metadata-based, service-oriented, and event-driven approach for integrating Web data timely and autonomously. Beside handling data heterogeneity, distribution and interoperability, our approach satisfies near real-time requirements and realize active data integration. For this sake, we design and develop a framework that utilizes Web standards (e.g., XML and Web services) for tackling data heterogeneity, distribution and interoperability issues. Moreover, our framework utilizes Active XML (AXML) to warehouse passive data as well as services to integrate active and dynamic data on-the-fly. AXML embedded services and changes detection services ensure near real-time data integration. Furthermore, the idea of integrating Web data actively and autonomously revolves around mining events logged by the data integration environment. Therefore, we propose an incremental XML-based algorithm for mining association rules from logged events. Then, we define active rules dynamically upon mined data to automate and reactivate integration tasks. Finally, as a proof of concept, we implement a framework prototype as a Web application using open-source tools.

Suggested Citation

  • Rashed Salem & Omar Boussaïd & Jérôme Darmont, 2013. "Active XML-based Web data integration," Information Systems Frontiers, Springer, vol. 15(3), pages 371-398, July.
    • Handle: RePEc:spr:infosf:v:15:y:2013:i:3:d:10.1007_s10796-012-9405-6
    DOI: 10.1007/s10796-012-9405-6
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    References listed on IDEAS

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    1. Vicky Nassis & Rajugan Rajagopalapillai & Tharam S. Dillon & Wenny Rahayu, 2005. "Conceptual and Systematic Design Approach for XML Document Warehouses," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 1(3), pages 63-87, July.
    2. Laura Irina Rusu & J. Wenny Rahayu & David Taniar, 2005. "A Methodology for Building XML Data Warehouses," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 1(2), pages 23-48, April.
    3. Benedikt Martens & Frank Teuteberg, 2012. "Decision-making in cloud computing environments: A cost and risk based approach," Information Systems Frontiers, Springer, vol. 14(4), pages 871-893, September.
    4. M. Asif Naeem & Gillian Dobbie & Gerald Weber, 2011. "HYBRIDJOIN for Near-Real-Time Data Warehousing," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 7(4), pages 21-42, October.
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    Cited by:

    1. Malu Castellanos & Florian Daniel & Irene Garrigós & Jose-Norberto Mazón, 2013. "Business Intelligence and the Web," Information Systems Frontiers, Springer, vol. 15(3), pages 307-309, July.
    2. Jakub Malý & Martin Nečaský, 2015. "Model-driven approach to modeling and validating integrity constraints for XML with OCL and Schematron," Information Systems Frontiers, Springer, vol. 17(4), pages 917-946, August.
    3. Chichang Jou, 2019. "Schema Extraction for Deep Web Query Interfaces Using Heuristics Rules," Information Systems Frontiers, Springer, vol. 21(1), pages 163-174, February.

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