A Semi-automatic Approach to Build XML Document Warehouse

Messaoud, Ines Ben; Feki, Jamel; Zurfluh, Gilles

doi:10.1007/978-3-319-25840-9_22

Cited by 1 publication

(4 citation statements)

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“…Finally, the output galaxies are syntactically validated referring to eleven quality-design constraints dedicated to the multidimensional galaxy model. The Document Warehouse Builder is detailed in (Feki et al, 2013) and (Ben Messaoud et al, 2015) and illustrated with examples.…”

Section: Approach For Building a Document-oriented Nosql Warehousementioning

confidence: 99%

“…Due to the absence of a benchmark, we reuse our galaxy (Figure 8) (Ben Messaoud et al, 2015) generated from 3 DTDs and 1691 XML documents from Clef-2007. For simplicity, we ignore weak attributes.…”

Section: Benchmark Descriptionmentioning

confidence: 99%

“…In (McCabe et al, 2000;Sullivan, 2001), the authors advocate that documents should be warehoused; hence, the Document Warehouse (DocW) concept appears. A DocW is modeled as a Star schema (Tseng et al, 2006;Ben Mefteh et al, 2016), or as a Galaxy (Ben Messaoud et al, 2015;Feki et al, 2013;Pujolle et al, 2011) that is a variant of the Star schema. A DocW organizes textual data for OLAP (On-Line Analytical Analyses) analyses for successful business intelligence purposes (Tseng et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…This approach has two methods called Document Warehouse Builder and NoSQL-Converter. The first accepts XML documents and produces a DocW as a galaxy (Feki et al, 2013;Ben Messaoud et al, 2015). The second method transforms the obtained galaxy into a Document-oriented NoSQL model.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Building a Document-Oriented Warehouse Using NoSQL

Messaoud

Alshdadi

Feki

2021

International Journal of Operations Research and Information Systems

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The traditional data warehousing approaches should adapt to take into consideration novel needs and data structures. In this context, NoSQL technology is progressively gaining a place in the research and industry domains. This paper proposes an approach for building a NoSQL document-oriented warehouse (DocW). This approach has two methods, namely 1) document warehouse builder and 2) NoSQL-Converter. The first method generates the DocW schema as a galaxy model whereas the second one translates the generated galaxy into a document-oriented NoSQL model. This relies on two types of rules: structure and hierarchical rules. Furthermore, in order to help understanding the textual results of analytical queries on the NoSQL-DocW, the authors define two semantic operators S-Drill-Up and S-Drill-Down to aggregate/expand the terms of query. The implementation of our proposals uses MangoDB and Talend. The experiment uses the medical collection Clef-2007 and two metrics called write request latency and read request latency to evaluate respectively the loading time and the response time to queries.

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Section: Approach For Building a Document-oriented Nosql Warehousementioning

confidence: 99%

Section: Benchmark Descriptionmentioning

confidence: 99%