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Efficient path query and reasoning method based on rare axis

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Abstract

A new concept of rare axis based on statistical facts is proposed, and an evaluation algorithm is designed thereafter. For the nested regular expressions containing rare axes, the proposed algorithm can reduce its evaluation complexity from polynomial time to nearly linear time. The distributed technique is also employed to construct the navigation axis indexes for resource description framework (RDF) graph data. Experiment results in DrugBank and BioGRID show that this method can improve the query efficiency significantly while ensuring the accuracy and meet the query requirements on Web-scale RDF graph data.

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Authors and Affiliations

  1. School of Computer Science and Technology, Tianjin University, Tianjin, 300072, China

    Yang Jiang  (姜 洋), Zhiyong Feng  (冯志勇) & Xin Wang  (王 鑫)

  2. School of Computer Science and Technology, Civil Aviation University of China, Tianjin, 300300, China

    Yang Jiang  (姜 洋) & Xiaoning Ma  (马晓宁)

Authors
  1. Yang Jiang  (姜 洋)
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  2. Zhiyong Feng  (冯志勇)
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  3. Xin Wang  (王 鑫)
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  4. Xiaoning Ma  (马晓宁)
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Corresponding author

Correspondence to Xin Wang  (王 鑫).

Additional information

Supported by the National Natural Science Foundation of China(No. 61373035 and No. 61100049), National High Technology Research and Development Program of China (“863” Program, No. 2013AA013204), Fundamental Research Funds for the Central Universities(No. 3122014C018 and 3122015C022), and Scientific Research Funds Supported by Civil Aviation University of China(No. 09QD02X).

Jiang Yang, born in 1984, male, Dr, lecturer.

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Jiang, Y., Feng, Z., Wang, X. et al. Efficient path query and reasoning method based on rare axis. Trans. Tianjin Univ. 21, 278–283 (2015). https://doi.org/10.1007/s12209-015-2460-6

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  • DOI: https://doi.org/10.1007/s12209-015-2460-6

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