2012 International Conference on Information Retrieval &Amp; Knowledge Management 2012
DOI: 10.1109/infrkm.2012.6204995
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Cited by 138 publications
(89 citation statements)
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“…Facilitate factual examination is then being utilized to recognize data quality issue zone. The utilized of PSP/IQ is because of the target of accomplishing great data guided by the measurements qualities specifically, inborn, illustrative, logical and availability [32]. Another case of information quality administration display is Data Quality Management Maturity Model (DQMMM).…”
Section: Methodical Administration Of Information Quality In Associationmentioning
confidence: 99%
“…Facilitate factual examination is then being utilized to recognize data quality issue zone. The utilized of PSP/IQ is because of the target of accomplishing great data guided by the measurements qualities specifically, inborn, illustrative, logical and availability [32]. Another case of information quality administration display is Data Quality Management Maturity Model (DQMMM).…”
Section: Methodical Administration Of Information Quality In Associationmentioning
confidence: 99%
“…They can be used for measuring the productivity or determining the effects of new IS solution interventions (learning curve or repetition when used in parallel with existing practices). The F4W solutions are defined in [31; 32] There exist several frameworks that can be used for measuring the quality of these kind of systems such as: KMS [33] for Knowledge Management Systems; [34] for Team Supporting Tools; [35; 36] for Data Management; [37] for Semantic Workflow Engine Metrics; or [38] for HMI measurements based on logged information [26]. There are quality system measurements and productivity measurements that are closely related, in particular, when considering systems supporting the sharing of knowledge between workers.…”
Section: Review Of Technological Approachesmentioning
confidence: 99%
“…The task of information scoring is mainly addressed through the decomposition of its quality into components, assessed on different dimensions whose list and definitions vary depending on the author. Some examples are relevance and truthfulness [13], reliability and certainty [10], source-trustworthiness and information-credibility [2], sincerity, competence, intention of the source and plausibility [11] or trust [18,4,8,15], see [17] for a complete list. One recent approach, introduced in [15], considers trust evaluation in a multivalued logic framework based on four dimensions: reliability and competence, which evaluate the source, and plausibility and credibility, which relate to the information content, spanning the range from source to information, from general to contextual and from subjective to objective.…”
Section: Literature Reviewmentioning
confidence: 99%