Title: A workflow for supporting the evolution requirements of RDF-based semantic warehouses

Authors: Yannis Marketakis; Yannis Tzitzikas; Aureliano Gentile; Bracken Van Niekerk; Marc Taconet

Addresses: Institute of Computer Science (FORTH-ICS), Computer Science Department, University of Crete, Heraklion, Crete, Greece ' Institute of Computer Science (FORTH-ICS), Computer Science Department, University of Crete, Heraklion, Crete, Greece ' Food and Agriculture Organisation of the United Nations, Rome, Lazio, Italy ' Food and Agriculture Organisation of the United Nations, Rome, Lazio, Italy ' Food and Agriculture Organisation of the United Nations, Rome, Lazio, Italy

Abstract: Semantic data integration aims to exploit heterogeneous pieces of similar or complementary information for enabling integrated browsing and querying services. A quite common approach is the transformation from the original sources with respect to a common graph-based data model and the construction of a global semantic warehouse. The main problem is the periodic refreshment of the warehouse, as the contents from the data sources change. This is a challenging requirement, not only because the transformations that were used for constructing the warehouse can be invalidated, but also because additional information may have been added in the semantic warehouse, which needs to be preserved after every reconstruction. In this paper, we focus on this particular problem using a semantic warehouse that integrates data about stocks and fisheries from various information systems, we detail the requirements related to the evolution of semantic warehouses and propose a workflow for tackling them.

Keywords: semantic warehouse; evolution; semantic data integration; preserve updates; refresh workflow.

DOI: 10.1504/IJMSO.2021.123044

International Journal of Metadata, Semantics and Ontologies, 2021 Vol.15 No.3, pp.220 - 232

Received: 04 Aug 2021
Accepted: 14 Jan 2022
Published online: 23 May 2022 *

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