Design and Analysis of Quality Information for Data Warehouses

Jeusfeld, Manfred A.; Quix, Christoph; Jarke, Matthias

doi:10.1007/978-3-540-49524-6_28

Cited by 78 publications

(66 citation statements)

References 12 publications

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“…• DWQ [24] is one of the few approaches focused on data warehousing. An important part of this approach is ensuring the quality of data in the data warehouse, hence different types of data quality techniques are applied.…”

Section: Ontology-based Information Integration Systemsmentioning

confidence: 99%

An ActOn-based semantic information service for EGEE

Wei

Corcho

Goble

et al. 2007

2007 8th IEEE/ACM International Conference on Grid Computing

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a b s t r a c tWe describe a semantic information service that aggregates metadata from a large number of information sources of a large-scale Grid infrastructure. It uses an ontology-based information integration architecture (ActOn) suitable for the highly dynamic distributed information sources available in Grid systems, where information changes frequently and where the information of distributed sources has to be aggregated in order to solve complex queries. These two challenges are addressed by a Metadata Cache that works with an update-on-demand policy and by an information source selection module that selects the most suitable source at a given point in time. We have evaluated the quality of this information service, and compared it with other similar services from the EGEE production testbed, with promising results.

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Section: Ontology-based Information Integration Systemsmentioning

confidence: 99%

An ActOn-based semantic information service for EGEE

Wei

Corcho

Goble

et al. 2007

2007 8th IEEE/ACM International Conference on Grid Computing

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“…This brings up the discussion on data warehouse quality and the ability of a metadata repository to trace it in an expressive and usable fashion. To face this problem, the proposed process metamodel is explicitly linked to our earlier quality metamodel [32]. We complement this linkage by mentioning specific quality factors for the quality dimensions of the ISO 9126 standard for software implementation and evaluation.…”

Section: Architecture P R O C E S S E Smentioning

confidence: 99%

“…The quality metamodel accompanying the architecture metamodel [32] involves an extension of the Goal-Question-Metric approach [47]. The metamodel introduces the basic entities around quality (including Quality Goals, Quality Queries and Quality Factors), the metadata layer is customized per warehouse with quality scenarios, and the instance layer captures concrete measurements of the quality of a given data warehouse.…”

Section: Background Work For the Metamodel: The Quest For Formal Modementioning

confidence: 99%

“…In [29], we presented a metadata modeling approach which enables the capturing of the static parts of the architecture of a data warehouse. The linkage of the architecture model to quality parameters (in the form of a quality model) and its implementation in the metadata repository ConceptBase have been formally described in [32]. [57] presents a methodology for the exploitation of the information found in the metadata repository and the quality-oriented evolution of a data warehouse based on the architecture and quality model.…”

Section: Introductionmentioning

confidence: 99%

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Data warehouse process management

Vassiliadis

Quix

Vassiliou

et al. 2001

Information Systems

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− − − − Previous research has provided metadata models that enable the capturing of the static components of a data warehouse architecture, along with information on different quality factors over these components. This paper complements this work with the modeling of the dynamic parts of the data warehouse. The proposed metamodel of data warehouse operational processes is capable of modeling complex activities, their interrelationships, and the relationship of activities with data sources and execution details. Moreover, the metamodel complements the existing architecture and quality models in a coherent fashion, resulting in a full framework for quality-oriented data warehouse management, capable of supporting the design, administration and especially evolution of a data warehouse. Finally, we exploit our framework to revert the widespread belief that data warehouses can be treated as collections of materialized views. We have implemented this metamodel using the language Telos and the metadata repository system ConceptBase.

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“…The DWQ quality metamodel [7] is based on the Goal-Question-Metric approach (GQM) of [10] originally developed for software quality management. In GQM, the high-level user requirements are modeled as goals.…”

Section: Quality Metamodelmentioning

confidence: 99%

Towards Quality-Oriented Data Warehouse Usage and Evolution

Vassiliadis

Bouzeghoub

Quix

1999

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract. As a decision support information system, a data warehouse must provide high level quality of data and quality of service. In the DWQ project we have proposed an architectural framework and a repository of metadata which describes all the data warehouse components in a set of metamodels to which is added a quality metamodel, defining for each data warehouse metaobject the corresponding relevant quality dimensions and quality factors. Apart from this static definition of quality, we also provide an operational complement, that is a methodology on how to use quality factors and to achieve user quality goals. This methodology is an extension of the Goal-Question-Metric (GQM) approach, which allows to capture (a) the inter-relationships between different quality factors and (b) to organize them in order to fulfil specific quality goals. After summarizing the DWQ quality model, this paper describes the methodology we propose to use this quality model, as well as its impact on the data warehouse evolution.

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Design and Analysis of Quality Information for Data Warehouses

Cited by 78 publications

References 12 publications

An ActOn-based semantic information service for EGEE

An ActOn-based semantic information service for EGEE

Data warehouse process management

Towards Quality-Oriented Data Warehouse Usage and Evolution

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