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Authors: Shady Hamouda 1 ; Raed Sughayyar 1 and Omar Elejla 2

Affiliations: 1 Emirates College of Technology, Abu Dhabi, U.A.E. ; 2 Faculty of Information Technology, IUG, Palestine

Keyword(s): Semi-Structured, Big Data, Schema.

Abstract: Big data has become a crucial issue and has emerged as one of the most important technologies in the modern world. One of the concerns that need to be addressed regarding big data is the lack of a method that can handle a semi-structured data model with a flexible schema. None of the existing semi-structured models can handle a large volume of data with a flexible schema. Therefore, these requirements give significance to designing and develop a schema for semi-structured data. In addition, these issues and challenges have to be addressed by researchers when designing a method or algorithm to retrieve information from a large amount of data. This study aims to design a semi-structured data schema for big data applications. This study assessed the flexible schema feature and data based on the semi-structure features. The result showed that the proposed schema can cover and handle any change in the schema.

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Paper citation in several formats:
Hamouda, S.; Sughayyar, R. and Elejla, O. (2021). Semi-Structured Schema for a Big Data (S-SSBD). In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KEOD; ISBN 978-989-758-533-3; ISSN 2184-3228, SciTePress, pages 202-209. DOI: 10.5220/0010687600003064

@conference{keod21,
author={Shady Hamouda. and Raed Sughayyar. and Omar Elejla.},
title={Semi-Structured Schema for a Big Data (S-SSBD)},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KEOD},
year={2021},
pages={202-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010687600003064},
isbn={978-989-758-533-3},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - KEOD
TI - Semi-Structured Schema for a Big Data (S-SSBD)
SN - 978-989-758-533-3
IS - 2184-3228
AU - Hamouda, S.
AU - Sughayyar, R.
AU - Elejla, O.
PY - 2021
SP - 202
EP - 209
DO - 10.5220/0010687600003064
PB - SciTePress

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