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Web Document Categorization Using Knowledge Graph and Semantic Textual Topic Detection

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12951))

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Abstract

In several contexts, the amount of available digital documents increases every day. One of these challenging contexts is the Web. The management of this large amount of information needs more efficient and effective methods and techniques for analyzing data and generate information. Specific application as information retrieval systems have more and more high performances in the document seeking process, but often they lack of semantic understanding about documents topics. In this context, another issue arising from a massive amount of data is the problem of information overload, which affects the quality and performances of information retrieval systems. This work aims to show an approach for document classification based on semantic, which allows a topic detection of analyzed documents using an ontology-based model implemented as a semantic knowledge base using a No SQL graph DB. Finally, we present and discuss experimental results in order to show the effectiveness of our approach.

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Authors and Affiliations

  1. Department of Electrical Engineering and Information Technologies, University of Napoli Federico II, 80125 Via Claudio, 21, Napoli, Italy

    Antonio M. Rinaldi, Cristiano Russo & Cristian Tommasino

Authors
  1. Antonio M. Rinaldi
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  2. Cristiano Russo
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  3. Cristian Tommasino
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Corresponding author

Correspondence to Antonio M. Rinaldi .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

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Rinaldi, A.M., Russo, C., Tommasino, C. (2021). Web Document Categorization Using Knowledge Graph and Semantic Textual Topic Detection. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12951. Springer, Cham. https://doi.org/10.1007/978-3-030-86970-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-86970-0_4

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  • Print ISBN: 978-3-030-86969-4

  • Online ISBN: 978-3-030-86970-0

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