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Multi-indexed Graph Based Knowledge Storage System

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Book cover Web Information Systems Engineering – WISE 2013 Workshops (WISE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8182))

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Abstract

With the rapid development of information technologies, knowledge management systems are facing the problem of how to manage the massive volume of data and make an efficient usage for the data. In this paper, we analyzed the current challenge of knowledge management system and proposed a multi-indexed graph based knowledge storage system to avoid the data duplication and optimized for parallel processing.

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Author information

Authors and Affiliations

  1. School of software engineering, Tongji University, China

    Hongming Zhu, Qin Liu & You Zhou

  2. Well-Being and Social Sciences, Bolton University, UK

    Hongming Zhu & Danny Morton

  3. School of computer science, Tongji University, China

    Wenjun Zhou

Authors
  1. Hongming Zhu
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  2. Danny Morton
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  3. Wenjun Zhou
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  4. Qin Liu
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  5. You Zhou
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Editor information

Editors and Affiliations

  1. Vrije University of Amsterdam, De Boelelaan 1081, 1081, Amsterdam, The Netherlands

    Zhisheng Huang

  2. Faculty of Information and Communication Technologies, Swinburne University of Technology, PO Box 218, 3122, Melbourne, VIC, Australia

    Chengfei Liu

  3. College of Engineering and Science, Victoria University, PO Box 14428, 8001, Melbourne, VIC, Australia

    Jing He

  4. Centre for Applied Informatics, Victoria University, PO Box 14428, 8001, Melbourne, VIC, Australia

    Guangyan Huang

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© 2014 Springer-Verlag Berlin Heidelberg

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Zhu, H., Morton, D., Zhou, W., Liu, Q., Zhou, Y. (2014). Multi-indexed Graph Based Knowledge Storage System. In: Huang, Z., Liu, C., He, J., Huang, G. (eds) Web Information Systems Engineering – WISE 2013 Workshops. WISE 2013. Lecture Notes in Computer Science, vol 8182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54370-8_25

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  • DOI: https://doi.org/10.1007/978-3-642-54370-8_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54369-2

  • Online ISBN: 978-3-642-54370-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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