Different roles and mutual dependencies of data, information, and knowledge -- An AI perspective on their integration Export

@article{citeulike:3207984, abstract = {The unclear distinction between data, information, and knowledge has impaired their combination and utilization for the development of integrated systems. There is need for a unified definitional model of data, information, and knowledge based on their roles in computational and cognitive information processing. An attempt to clarify these basic notions is made, and a conceptual framework for integration is suggested by focusing on their different roles and frames of reference within a decision-making process. On this basis, ways of integrating the functionalities of databases, information systems and knowledge-based systems are discussed by taking a knowledge level perspective to the analysis and modeling of systems behaviour. Motivated by recent work in the area of case-based reasoning related to decision support systems, it is further shown that a specific problem solving episode, or case, may be viewed as data, information, or knowledge, depending on its role in decision making and learning from experience. An outline of a case-based system architecture is presented, and used to show that a focus on the retaining and reuse of past cases facilitates a gradual and evolutionary transition from an information system to a knowledge-based system.}, author = {Aamodt, Agnar and Nygard, Mads}, citeulike-article-id = {3207984}, citeulike-linkout-0 = {http://dx.doi.org/http://dx.doi.org/10.1016/0169-023X(95)00017-M}, citeulike-linkout-1 = {http://dx.doi.org/10.1016/0169-023X(95)00017-M}, doi = {http://dx.doi.org/10.1016/0169-023X(95)00017-M}, journal = {Data \& Knowledge Engineering}, keywords = {cs-ai, knowledge, kr-dikw}, month = {September}, number = {3}, pages = {191--222}, posted-at = {2008-09-09 06:40:38}, priority = {2}, title = {Different roles and mutual dependencies of data, information, and knowledge -- An AI perspective on their integration}, url = {http://dx.doi.org/http://dx.doi.org/10.1016/0169-023X(95)00017-M}, volume = {16}, year = {1995} }

TY - JOUR ID - citeulike:3207984 L3 - citeulike-article-id:3207984 N2 - The unclear distinction between data, information, and knowledge has impaired their combination and utilization for the development of integrated systems. There is need for a unified definitional model of data, information, and knowledge based on their roles in computational and cognitive information processing. An attempt to clarify these basic notions is made, and a conceptual framework for integration is suggested by focusing on their different roles and frames of reference within a decision-making process. On this basis, ways of integrating the functionalities of databases, information systems and knowledge-based systems are discussed by taking a knowledge level perspective to the analysis and modeling of systems behaviour. Motivated by recent work in the area of case-based reasoning related to decision support systems, it is further shown that a specific problem solving episode, or case, may be viewed as data, information, or knowledge, depending on its role in decision making and learning from experience. An outline of a case-based system architecture is presented, and used to show that a focus on the retaining and reuse of past cases facilitates a gradual and evolutionary transition from an information system to a knowledge-based system. IS - 3 JF - Data & Knowledge Engineering EP - 222 TI - Different roles and mutual dependencies of data, information, and knowledge -- An AI perspective on their integration VL - 16 SP - 191 KW - cs-ai KW - knowledge KW - kr-dikw AU - Aamodt, Agnar AU - Nygard, Mads PY - 1995/September// UR - http://dx.doi.org/http://dx.doi.org/10.1016/0169-023X(95)00017-M ER -