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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References
Liao, H., Han, J., Fang, J.: Multi-dimensional Index on Hadoop Distributed File System. In: IEEE Fifth International Conference on Networking, Architecture and Storage (NAS) (2010)
Lin, J., Ryaboy, D., Weil, K.: Full-text indexing for optimizing selection operations in large-scale data analytics. In: Proceedings of the Second International Workshop on MapReduce and Its Applications (2011)
Yang, H., Dasdan, A., Hsiao, R.-L., Parker, D.S.: Map-Reduce-Merge: Simplified relational data, processing on large clusters. In: SIGMOD (2007)
Abouzeid, A., Bajda-Pawlikowski, K., Abadi, D., Silberschatz, A., Rasin, A.: HadoopDB: An architectural hybrid of MapReduce and DBMS technologies for analytical workloads. In: VLDB (2009)
Melnik, S., Gubarev, A., Long, J., Romer, G., Shivakumar, S., Tolton, M., Vassilakis, T.: Dremel: Interactive analysis of web-scale datasets. In: VLDB (2010)
Chang, F., Dean, J., Ghemawat, S., Hsieh, W.C., Wallach, D.A., Burrows, M., Chandra, T., Fikes, A., Gruber, R.: Bigtable: A distributed storage system for structured data. In: OSDI (2006)
Dean, J., Ghemawat, S.: MapReduce: Simplified data processing on large clusters. In: OSDI (2004)
Abadi, D.J.: Materialization strategies in a Column oriented DBMS, ICDE, Istanbul, Turkey, pp. 567–574 (2007)
Cafarella, M., Ré, C.: Manimal: Relational optimization for data-intensive programs. In: WebDB (2010)
Dittrich, J., Quiané-Ruiz, J.-A., Jindal, A., Kargin, Y., Setty, V., Schad, J.: Hadoop++: Making a yellow elephant run like a cheetah (without it even noticing). In: VLDB (2010)
Agrawal, R., Borgida, A., Jagadish, H.V.: Efficient management of transitive relationships in large data and knowledge bases. SIGMOD Rec. 18(2), 253–262 (1989)
Cheng, J., Yu, J.X., Lin, X., Wang, H., Yu, P.S.: Fast computing reachability labelings for large graphs with high compression rate. In: EBDT (2008)
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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
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