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Computational Intelligence in Data Mining—Volume 2 pp 121–131Cite as

A Constraint Based Question Answering over Semantic Knowledge Base

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 411))

Abstract

The proposed system aims at extracting meaning from the natural language query for querying the semantic knowledge sources. Semantic knowledge sources are systems conceptualized with Ontology. Characterization of a concept is through other concepts as a constraint over other. This very method to extract meaning from the natural language query has been experimented in this system. Constraints and entities from the query and the relationship between the entities is capable of transforming natural language query to a SPARQL (a query language for Semantic Knowledge sources). Further the SPARQL query is generated through recursive procedure from the intermediate query which is more efficient that mapping with patterns of the question. The system is compared with other systems of QALD (Question Answering over Linked Data) standard.

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Authors and Affiliations

  1. School of Computing Science and Engineering, VIT University, Vellore, India

    Magesh Vasudevan & B. K. Tripathy

Authors
  1. Magesh Vasudevan
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  2. B. K. Tripathy
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Correspondence to Magesh Vasudevan .

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Editors and Affiliations

  1. Department of Computer Science Engineering and Information Technology, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India

    Durga Prasad Mohapatra

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Vasudevan, M., Tripathy, B.K. (2016). A Constraint Based Question Answering over Semantic Knowledge Base. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining—Volume 2. Advances in Intelligent Systems and Computing, vol 411. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2731-1_11

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  • DOI: https://doi.org/10.1007/978-81-322-2731-1_11

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2729-8

  • Online ISBN: 978-81-322-2731-1

  • eBook Packages: EngineeringEngineering (R0)

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