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Knowledge retrieval seeks to return information in a structured form, consistent with human cognitive processes as opposed to simple lists of data items. It draws on a range of fields including epistemology (theory of knowledge), cognitive psychology, cognitive neuroscience, logic and inference, machine learning and knowledge discovery, linguistics, and information technology.
Knowledge acquisition is the process used to define the rules and ontologies required for a knowledge-based system. The phrase was first used in conjunction with expert systems to describe the initial tasks associated with developing an expert system, namely finding and interviewing domain experts and capturing their knowledge via rules ...
Empirical evidence – also referred to as empirical data, empirical knowledge, and sense experience, it is a collective term for the knowledge or source of knowledge acquired by means of the senses, particularly by observation and experimentation. [5]
Knowledge discovery describes the process of automatically searching large volumes of data for patterns that can be considered knowledge about the data. [44] It is often described as deriving knowledge from the input data. Knowledge discovery developed out of the data mining domain, and is closely related to it both in terms of methodology and ...
The SLS is a large-scale linkage study built upon census records from 1991 onwards, with links to vital events (births, deaths, marriages, emigration); geographical and ecological data (deprivation indices, pollution, weather); primary and secondary education data (attendance, Schools Census, qualifications); and links to NHS Scotland ISD ...
Quantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory. Usually a big sample of data is collected – this would require verification, validation and recording before the analysis can take place. Software packages such as SPSS and R are typically used for this purpose. Causal ...
Goldman’s ‘’Knowledge in a Social World’’ came out in 1999. Goldman advocates for a type of epistemology which is sometimes called “veritistic epistemology” because of its large emphasis on truth. [9] This type of epistemology is sometimes seen to side with “essentialism” as opposed to “multiculturalism”. [9]
Knowledge ecology is a concept originating from knowledge management that aims at "bridging the gap between the static data repositories of knowledge management and the dynamic, adaptive behavior of natural systems", [19] in particular relying on the concepts of interaction and emergence.