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Semantic-based Linked Data Management Platform

Authors:
Yongju Lee
Hyunseung Seok
Seonghyeon Nam

Keywords: Linked Data; platform; storage and retrieval system; ontology learning; automatic composition

Abstract:
The growing number of available Linked Datasets raises a challenging data management problem: How should the big data be stored and the desired resources be located. Although many platforms, architectures, and mechanisms are proposed for Linked Data, there are still a number of limitations in the area of Linked Data. We propose a novel semantic-based Linked Data management platform, which is composed of a storage-indexing-retrieval system, an ontology learning system, and an automatic composition system. This platform serves as a basis for implementing other more sophisticated applications required in the area of Linked Data.

Pages: 52 to 54

Copyright: Copyright (c) IARIA, 2019

Publication date: July 28, 2019

Published in: conference

ISSN: 2308-3972

ISBN: 978-1-61208-728-3

Location: Nice, France

Dates: from July 28, 2019 to August 2, 2019