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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CITATION STYLE
Zhu, H., Morton, D., Zhou, W., Liu, Q., & Zhou, Y. (2014). Multi-indexed graph based knowledge storage system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8182, pp. 292–301). Springer Verlag. https://doi.org/10.1007/978-3-642-54370-8_25
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