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Top-k% Concept Stratagem for Classifying Semantic Web Services

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Intelligent Communication, Control and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 989))

Abstract

Top-k processing methodology is very popular among query processing in relational databases. The high influence of Top-k processing has been manifested in numerous application domains and database-related research areas. In this paper, the Top-k processing methodology has been adopted for the classification of Semantic Web Services (SWSs). It introduces the definition of the foundational unit of the Concept-sense Knowledge Base (CSKb) and Top-k% concept stratagem for classifying services to predefined categories in CSKb. The Top-k% concept scheme is implemented on OWLS-TC V4 dataset. The outcomes of various performed experiments not only justify the implications of the introduced notion but also reveal the efficacy of classification time.

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Notes

  1. 1.

    http://wordnetweb.princeton.edu/perl/webwn.

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Authors and Affiliations

  1. Department of Computer Science, Guru Nanak Dev University, Amritsar, India

    Aradhana Negi & Parminder Kaur

Authors
  1. Aradhana Negi
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  2. Parminder Kaur
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Corresponding author

Correspondence to Aradhana Negi .

Editor information

Editors and Affiliations

  1. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Sushabhan Choudhury

  2. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Ranjan Mishra

  3. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Raj Gaurav Mishra

  4. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Adesh Kumar

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Negi, A., Kaur, P. (2020). Top-k% Concept Stratagem for Classifying Semantic Web Services. In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-13-8618-3_22

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