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Using Semantic Web technologies in the development of data warehouses: A systematic mapping
Author(s) -
Gacitua Ricardo,
Mazon Jose N.,
Cravero Ania
Publication year - 2018
Publication title -
wiley interdisciplinary reviews: data mining and knowledge discovery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.506
H-Index - 47
eISSN - 1942-4795
pISSN - 1942-4787
DOI - 10.1002/widm.1293
Subject(s) - semantic web , computer science , data science , social semantic web , field (mathematics) , world wide web , web intelligence , maturity (psychological) , domain (mathematical analysis) , linked data , semantic web stack , knowledge management , information retrieval , web modeling , web service , psychology , mathematical analysis , developmental psychology , mathematics , pure mathematics
The exploration and use of Semantic Web technologies have attracted considerable attention from researchers examining data warehouse (DW) development. However, the impact of this research and the maturity level of its results are still unclear. The objective of this study is to examine recently published research articles that take into account the use of Semantic Web technologies in the DW arena with the intention of summarizing their results, classifying their contributions to the field according to publication type, evaluating the maturity level of the results, and identifying future research challenges. Three main conclusions were derived from this study: (a) there is a major technological gap that inhibits the wide adoption of Semantic Web technologies in the business domain;(b) there is limited evidence that the results of the analyzed studies are applicable and transferable to industrial use; and (c) interest in researching the relationship between DWs and Semantic Web has decreased because new paradigms, such as linked open data, have attracted the interest of researchers. This article is categorized under: Fundamental Concepts of Data and Knowledge > Information Repositories Fundamental Concepts of Data and Knowledge > Knowledge Representation Algorithmic Development > Web Mining