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Research on Large-Scale Knowledge Base Management Frameworks for Open-Domain Question Answering Systems

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Intelligent Systems and Networks (ICISN 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 243))

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Abstract

In recent years, there are increasingly question answering systems based on large-scale knowledge bases that can answer natural questions. In this paper, we analyze the performance and efficiency of different knowledge base management frameworks when retrieving information from large-scale knowledge bases. The data model is built in the structure of a directed graph with vertices denoted the entities and edges denoted their relationships. With RDF (Resource Description Framework) model, Neo4j and Apache Jena built Graph Database Platform and Triple Store respectively to present the meaning networks. We analyzed, measured, and discussed how they store data from a knowledge base in the industry. We briefly showed the strengths and limits of each tool via experiments. Based on particular aims, researchers can choose the appropriate database management framework for their applications in large-scale open domain question answering systems.

This research is supported by OLLI Technology JSC, Ho Chi Minh City, Vietnamese.

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Notes

  1. 1.

    https://query.wikidata.org/.

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Author information

Authors and Affiliations

  1. University of Science, Ho Chi Minh City, Vietnam

    Dat Tien Nguyen

  2. Vietnam National University, Ho Chi Minh City, Vietnam

    Dat Tien Nguyen

  3. OLLI Technology JSC, Ho Chi Minh City, Vietnam

    Dat Tien Nguyen & Hao Duc Do

Authors
  1. Dat Tien Nguyen
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  2. Hao Duc Do
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Corresponding author

Correspondence to Dat Tien Nguyen .

Editor information

Editors and Affiliations

  1. Phenikaa University, Hanoi, Vietnam

    Duc-Tan Tran

  2. Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

  3. Hanoi University of Industry, Hanoi, Vietnam

    Thi Dieu Linh Nguyen

  4. University of Huddersfield, Huddersfield, UK

    Joan Lu

  5. University of Transport Technology, Hanoi, Vietnam

    Thu-Do Xuan

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Nguyen, D.T., Do, H.D. (2021). Research on Large-Scale Knowledge Base Management Frameworks for Open-Domain Question Answering Systems. In: Tran, DT., Jeon, G., Nguyen, T.D.L., Lu, J., Xuan, TD. (eds) Intelligent Systems and Networks . ICISN 2021. Lecture Notes in Networks and Systems, vol 243. Springer, Singapore. https://doi.org/10.1007/978-981-16-2094-2_11

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