research-article

Semantic Querying Big and Distributed RDF Data

Authors:

Lamrani Kaoutar,

Ghadi Abderrahim,

Florent Kunalè KudagbaAuthors Info & Claims

SCA '18: Proceedings of the 3rd International Conference on Smart City Applications

Article No.: 82, Pages 1 - 5

https://doi.org/10.1145/3286606.3286859

Published: 10 October 2018 Publication History

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Abstract

Today, the Web knows a rapid increase in data level that makes their processing and storage limited in traditional technologies. That is why future technology tries to exploit the notion of semantics and ontology by adapting them to big data technology to allow a fundamental change in the access to voluminous information in the web. That Intended to have a complete and relevant response to the user request.

Our research work focuses on the semantic web. Focus exactly on the semantic search on many data expressed by RDF (Resource Description Framework) in distributed system. The semantic language proposed by W3C (World Wide Web Consortium) provides the formalism necessary for the representation of data for the Semantic Web. However, only a knowledge representation format is insufficient and we need powerful response mechanisms to manage effectively global and distributed queries across a set of stand-alone and heterogeneous RDF resources marked by the dynamic and scalable nature of their content.

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Kaoutar LAbderrahim G(2019)Global similarity based ontology to enhance the quality of big and distributed RDF dataProceedings of the 4th International Conference on Smart City Applications10.1145/3368756.3369092(1-4)Online publication date: 2-Oct-2019
https://dl.acm.org/doi/10.1145/3368756.3369092

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Global similarity based ontology to enhance the quality of big and distributed RDF data

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Published In

SCA '18: Proceedings of the 3rd International Conference on Smart City Applications

October 2018

580 pages

ISBN:9781450365628

DOI:10.1145/3286606

Editors:
Ben Ahmed Mohamed
UAE University, FST of Tangier, Morocco
,
Boudhir Anouar Abdelhakim
UAE University, FST of Tangier, Morocco
,
Younes Ali
UAE University, FS of Tetouan, Morocco

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 10 October 2018

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SCA '18

SCA '18: 3rd International Conference on Smart City Applications

October 10 - 11, 2018

Tetouan, Morocco

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Kaoutar LAbderrahim G(2019)Global similarity based ontology to enhance the quality of big and distributed RDF dataProceedings of the 4th International Conference on Smart City Applications10.1145/3368756.3369092(1-4)Online publication date: 2-Oct-2019
https://dl.acm.org/doi/10.1145/3368756.3369092

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Global similarity based ontology to enhance the quality of big and distributed RDF data