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A Semantic Data Fragmentation Approach for RDF Data Management

Authors:
Meisam Booshehri
Peter Luksch

Keywords: RDF data; The semantic web database systems; Data fragmentation; Ontology modularization; Concurrency; Load time; Data traffic on the network; Performance.

Abstract:
Efficient management of Resource Description Framework (RDF) data is one of the significant factors in realizing the semantic web vision. However, current RDF data management systems scale poorly, having performance limitations. In this PhD work, a new kind of data fragmentation in the context of RDF data is proposed based on the idea of ontology modularization. The proposed approach indicates dividing an ontology into several modules, applying RDF storing methods on ontology modules rather than on the whole ontology. By using this approach, three contributions can be introduced as follows. First, it will reduce the amount of data to be worked on at any specific point of time in order to achieve less load time and higher performance. Second, it will provide some kind of improved locality that reduces the need for interaction across the nodes of a distributed system, resulting in less message traffic. Third, according to the nature of data fragmentation we will expect higher concurrency as well. In order to show the feasibility of the approach, the main components of a suitable architecture is proposed and discussed in detail. For the evaluation, we intend to implement our proposed architecture as a layer over existing prominent open source storage systems to support the proposed fragmentation and verify the contributions. The proposed metrics would be query-time and system throughput. The former is expected to decrease while the latter is expected to increase.

Pages: 51 to 55

Copyright: Copyright (c) IARIA, 2015

Publication date: July 19, 2015

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-420-6

Location: Nice, France

Dates: from July 19, 2015 to July 24, 2015