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A Novel Approach: Semantic Web Enabled Subject Searching for Union Catalogue

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Applied Machine Learning and Data Analytics (AMLDA 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1818))

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Abstract

Most students and academicians use anonymous item search strategies to fetch books or other library materials, including subject keywords. Also, most of the search follows keyword-based search which returns irrelevant information as a result, and in the end, result success rates will be low. To overcome such problems, especially in the library catalogue, this paper presents an ontological approach to convert syntactic search strategy to semantic search and identify major subjects using Dewey Decimal Classification (DDC), available in the Union Catalogue of Gujarat Colleges (GujCat). The semantic web is creative and relevant and provides information in a way the computer can understand. Currently, GujCat follows keyword-based searching techniques, giving only exact text-matching results. This paper has suggested a structure that implements semantic concepts with the DDC scheme that can improve the subject-wise search and the overall search result quality of GujCat. Semantic-based search requires a Resource Description Framework (RDF) or Ontology concepts. The Simple Protocol and RDF Query Language (SPARQL) is a query language recommended by World Wide Web Consortium (W3C) to access and explore the ontology and data. The DDC classification scheme refers to a hierarchy of classes to enhance and improve subject-wise search for all the subjects available in the books.

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Author information

Authors and Affiliations

  1. Scientist-B (CS), Information and Library Network (INFLIBNET) Centre, Gandhinagar, Gujarat, 382007, India

    Dharmeshkumar Shah

  2. PG Programme, FCT & FCAIT, GLS University, Ahmedabad, Gujarat, 380006, India

    Harshal Arolkar

  3. R.N.G. Patel Institute of Technology, Bardoli, 394620, India

    Ronak Panchal

  4. GLS University, Ahmedabad, Gujarat, India

    Dharmeshkumar Shah

Authors
  1. Dharmeshkumar Shah
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  2. Harshal Arolkar
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  3. Ronak Panchal
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Corresponding author

Correspondence to Dharmeshkumar Shah .

Editor information

Editors and Affiliations

  1. Vardhaman College of Engineering, Hyderabad, India

    M. A. Jabbar

  2. Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

    Fernando Ortiz-Rodríguez

  3. Autonomous University of Tamaulipas, Ciudad Victoria, Mexico

    Sanju Tiwari

  4. University of Paris-Est Creteil, Vitry sur Seine, France

    Patrick Siarry

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Shah, D., Arolkar, H., Panchal, R. (2023). A Novel Approach: Semantic Web Enabled Subject Searching for Union Catalogue. In: Jabbar, M.A., Ortiz-Rodríguez, F., Tiwari, S., Siarry, P. (eds) Applied Machine Learning and Data Analytics. AMLDA 2022. Communications in Computer and Information Science, vol 1818. Springer, Cham. https://doi.org/10.1007/978-3-031-34222-6_15

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  • DOI: https://doi.org/10.1007/978-3-031-34222-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34221-9

  • Online ISBN: 978-3-031-34222-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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