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An Integration-Based Conceptual Framework for Scientific Information Analysis

In: Knowledge Discovery and Data Design Innovation Proceedings of the International Conference on Knowledge Management (ICKM 2017)

Author

Listed:
  • Wei Chen
  • Rui Yang
  • Tao He
  • Shuo Wang
  • Jiangping Chen

Abstract

The era of big data brings both opportunities and challenges to scientific information analysis (SIA) and intelligent information services performed at the National Science Library, Chinese Academy of Sciences (NSLC). We are in urgent need of developing a new SIA framework to expedite big data acquisition and processing, and to improve the quality of information services. This paper describes the traditional SIA workflow currently applied at NSLC with a case study. It also reviews progresses on massive heterogeneous data integration, data management and analytics methods, and their applications. We then propose an integration-based conceptual framework for SIA through an examination of the limitations of current workflow. The new framework is characterized with the development of a Knowledge Resources Integration System (KRIS) that can store, organize, process, and visualize heterogeneous data. We explain the functions and characteristics of the proposed framework and strategies to implement a web-based data warehouse system based on it. The paper concludes with a discussion of future research to implement KRIS for SIA.

Suggested Citation

  • Wei Chen & Rui Yang & Tao He & Shuo Wang & Jiangping Chen, 2017. "An Integration-Based Conceptual Framework for Scientific Information Analysis," World Scientific Book Chapters, in: Daniel Gelaw Alemneh & Jeff Allen & Suliman Hawamdeh (ed.), Knowledge Discovery and Data Design Innovation Proceedings of the International Conference on Knowledge Management (ICKM 2017), chapter 15, pages 283-300, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789813234482_0015
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    More about this item

    Keywords

    Knowledge Discovery; Big Data; Data Science; Data Analytics; Innovation;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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