By Carlo Batini, Monica Scannapieco
This ebook presents a scientific and comparative description of the huge variety of study concerns regarding the standard of knowledge and knowledge. It does so by means of supplying a valid, built-in and complete review of the cutting-edge and destiny improvement of knowledge and knowledge caliber in databases and knowledge systems.
To this finish, it offers an intensive description of the concepts that represent the center of knowledge and data caliber examine, together with list linkage (also referred to as item identification), facts integration, errors localization and correction, and examines the comparable concepts in a complete and unique methodological framework. caliber measurement definitions and followed versions also are analyzed intimately, and adjustments among the proposed ideas are highlighted and mentioned. in addition, whereas systematically describing information and knowledge caliber as an independent examine quarter, paradigms and impacts deriving from different parts, reminiscent of chance conception, statistical information research, information mining, wisdom illustration, and laptop studying also are incorporated. final no longer least, the ebook additionally highlights very functional ideas, corresponding to methodologies, benchmarks for the best thoughts, case stories, and examples.
The publication has been written essentially for researchers within the fields of databases and knowledge administration or in average sciences who're attracted to investigating houses of knowledge and knowledge that experience an influence at the caliber of experiments, tactics and on actual existence. the fabric provided can be sufficiently self-contained for masters or PhD-level classes, and it covers the entire basics and issues with no the necessity for different textbooks. info and knowledge approach directors and practitioners, who take care of structures uncovered to data-quality matters and for that reason desire a systematization of the sector and functional equipment within the zone, also will enjoy the mix of concrete useful methods with sound theoretical formalisms.
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Extra info for Data and Information Quality: Dimensions, Principles and Techniques
This happens because it is often impractical to obtain updates from subjects that maintain the official residence information. Also, errors may occur when personal information on individuals is stored. Some of these errors are not corrected, and a potentially large fraction of them is not detected. Furthermore, information provided by distinct sources differ in format, following local conventions, that can change in time and result in multiple versions. Finally, many of the records currently in the database were entered over years using legacy processes that included one or more manual data entry steps.
2, showing an image representing a flower. Instinctively, the image on the right-hand side is considered of better quality in comparison to the image on the left-hand side. At the same time, it is not immediate to identify the dimension(s) that we are considering to come to such a conclusion. In the preface, we provided a list of different information types. In the next section, we introduce several classifications of information relevant to quality issues, while issues related to information quality in several types of information systems will be considered in Sect.
A cooperative information system (CIS) can be defined as a large-scale information system that interconnects various systems of different and autonomous organizations while sharing common objectives. ” The relationship between CISs and information quality is double-faced. On the one hand, it is possible to profit the cooperation between agents in order to choose the best quality sources and thus improve the quality of circulating information. On the other hand, information flows are less controlled than in monolithic systems, and the quality of information, when not controlled, may rapidly decrease in time.