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DBpedia and YAGO as Knowledge Base for Natural Language Based Question Answering—The Evaluation

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Man-Machine Interactions 5 (ICMMI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 659))

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Abstract

The idea of automatic question answering system has a very long history. Despite constant improvement of the systems asking questions in the natural language requires very complex solutions. In this paper the DBpedia and YAGO are evaluated as a knowledge bases for simple class 1 and 2 question answering system. For this purpose a question answering system was designed and implemented. The proposed solution and the knowledge bases were evaluated and some remarks are given.

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Notes

  1. 1.

    http://trec.nist.gov/data/qa/T8_QAdata/topics.qa_questions.txt.

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Author information

Authors and Affiliations

  1. Department of Computer Architecture, Faculty of Electronics, Telecommunication and Informatics, Gdańsk University of Technology, Gdańsk, Poland

    Tomasz Boiński & Adrian Ambrożewicz

Authors
  1. Tomasz Boiński
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  2. Adrian Ambrożewicz
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Corresponding author

Correspondence to Tomasz Boiński .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Aleksandra Gruca

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Tadeusz Czachórski

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Katarzyna Harezlak

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Agnieszka Piotrowska

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Boiński, T., Ambrożewicz, A. (2018). DBpedia and YAGO as Knowledge Base for Natural Language Based Question Answering—The Evaluation. In: Gruca, A., Czachórski, T., Harezlak, K., Kozielski, S., Piotrowska, A. (eds) Man-Machine Interactions 5. ICMMI 2017. Advances in Intelligent Systems and Computing, vol 659. Springer, Cham. https://doi.org/10.1007/978-3-319-67792-7_25

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  • DOI: https://doi.org/10.1007/978-3-319-67792-7_25

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