Context-based information quality for sequential decision making

Rogova, Galina L.; Hadzagic, Melita; St-Hilaire, Marie-Odette; Florea, Mihai; Valin, Pierre

doi:10.1109/cogsima.2013.6523818

Cited by 20 publications

(12 citation statements)

References 9 publications

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“…This is because the contextualizing object is not unique and it depends on the contextualized object. For example, in [52] the contextualized object is data quality, the contextualizing object is the user and it is determined by the user requirements. On the other hand, in [50] the authors consider that the large amount of information generated by users and applications is often underused.…”

Section: Relevant Resultsmentioning

confidence: 99%

“…The work in [49] shows that besides users may have different data requirements, their satisfactory quality level and the elements that define their context vary according to each-one's perspective. In this case, the context is determined by the users' requirements.…”

Section: How Contexts Are Defined and Used In Dws?mentioning

confidence: 99%

“…Finally, we also studied other works from which we obtained relevant results, but we do not detail here [52] …”

Section: How Contexts Are Defined and Used In Dws?mentioning

confidence: 99%

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Context-based Data Quality Metrics in Data Warehouse Systems

Serra¹,

Marotta²

2017

CLEIej

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The fact that Data Quality (DQ) depends on the context, in which data are produced, stored and used, is widely recognized in the research community. Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have had a huge growth in the last years, in research and industry. DQ in this kind of systems becomes essential. This work presents a proposal for identifying DQ problems in the domain of DWS, considering the different contexts that exist in each system component. This proposal may act as a first conceptual framework that guides the DQ-responsible in the management of DQ in DWS. The main contributions of this work are a thorough literature review about how contexts are used for evaluating DQ in DWS, and a proposal for assessing DQ in DWS through contextbased DQ metrics.

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Section: Relevant Resultsmentioning

confidence: 99%

Section: How Contexts Are Defined and Used In Dws?mentioning

confidence: 99%

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Context-based Data Quality Metrics in Data Warehouse Systems

Serra¹,

Marotta²

2017

CLEIej

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“…Rogova et al [106] further discuss the problem of decision making when incorporating context-dependant information in the fusion process. In particular, the paper highlights how the quality of information can, depending on the context, relate to different combinations of quality attributes.…”

Section: Decision Makingmentioning

confidence: 99%

Context-based Information Fusion: A survey and discussion

2015

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This survey aims to provide a comprehensive status of recent and current research on context-based Information Fusion (IF) systems, tracing back the roots of the original thinking behind the development of the concept of ''context''. It shows how its fortune in the distributed computing world eventually per-meated in the world of IF, discussing the current strategies and techniques, and hinting possible future trends. IF processes can represent context at different levels (structural and physical constraints of the scenario, a priori known operational rules between entities and environment, dynamic relationships modelled to interpret the system output, etc.). In addition to the survey, several novel context exploita-tion dynamics and architectural aspects peculiar to the fusion domain are presented and discussed.

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“…Using a "majority vote" strategy, it is possible to either improve the quality of the acquired piece of information [8] or combine multiple similar and dissimilar sensors to improve the overall quality of calculations by aggregating all outputs into one [16,9,8,14].…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Trust Scoring of Railway Sensor Information

Lenart

Bielecki

Lesot

et al. 2018

Artificial Intelligence and Soft Computing

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Abstract. A sensor can encounter many situations where its readings can be untrustworthy and the ability to recognise this is an important and challenging task. It opens the possibility to assess sensors for forensic or maintenance purposes, compare them or fuse their information. We present a proposition to score a piece of information produced by a sensor as an aggregation of three dimensions called reliability, likelihood and credibility into a trust value that take into account a temporal component. The approach is validated on data from the railway domain.

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Context-based information quality for sequential decision making

Cited by 20 publications

References 9 publications

Context-based Data Quality Metrics in Data Warehouse Systems

Context-based Data Quality Metrics in Data Warehouse Systems

Context-based Information Fusion: A survey and discussion

Dynamic Trust Scoring of Railway Sensor Information

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