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A Survey on Efficient Management of Large RDF Graph for Semantic Web in Big Data

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Emerging Technologies in Data Mining and Information Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1300))

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Abstract

Semantic web expands the web principles by allowing the computer to understand and easily analyze the data on web. Presently, RDF is used as a triplet model for the semantic web. There is primary need for efficient storage, data retrieval from RDF graph of semantic web in live world application. This paper compares work done in semantic web and also discusses the various challenges involved including scalability, real-time efficient storage and query processing in graph oriented distributed database. The different approaches compared are direct relational mapping approach, entity-based perspectives with different indexing techniques for querying linked data for multilevel indexing framework and graph-based approach. This paper provides an overview of the features and techniques for storing the RDF graph and managing the metadata of data for the semantic web.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Rai University, Ahmedabad, Gujarat, 382260, India

    Ashutosh A. Abhangi & Sailesh Iyer

Authors
  1. Ashutosh A. Abhangi
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  2. Sailesh Iyer
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Corresponding author

Correspondence to Ashutosh A. Abhangi .

Editor information

Editors and Affiliations

  1. Faculty of Computers And Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. CHRIST (Deemed to be University), Bengaluru, Karnataka, India

    Siddhartha Bhattacharyya

  3. Institute of Engineering & Management, Kolkata, West Bengal, India

    Satyajit Chakrabati

  4. Institute of Engineering & Management, Kolkata, West Bengal, India

    Abhishek Bhattacharya

  5. Institute of Engineering & Management, Kolkata, West Bengal, India

    Soumi Dutta

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Abhangi, A.A., Iyer, S. (2021). A Survey on Efficient Management of Large RDF Graph for Semantic Web in Big Data. In: Hassanien, A.E., Bhattacharyya, S., Chakrabati, S., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1300. Springer, Singapore. https://doi.org/10.1007/978-981-33-4367-2_24

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