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WIREs Data Mining Knowl Discov
Impact Factor: 2.541

Using Semantic Web technologies in the development of data warehouses: A systematic mapping

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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
Visualization of a systematic map relating article type to the use of Semantic Web technologies using a bubble chart
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Visualization of a systematic map relating the stages of DW development to Semantic Web technologies using a bubble chart
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Distribution map of primary studies by publication venue and year
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Primary source distribution by publication year
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Place of study publication for all filters
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Creation of the classification schema
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Stages of the article selection process
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The systematic mapping process
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Visualization of a systematic map relating the type of result to the validation type using a bubble chart
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Validation type
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Type of research results
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Fundamental Concepts of Data and Knowledge > Information Repositories
Fundamental Concepts of Data and Knowledge > Knowledge Representation
Algorithmic Development > Web Mining

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