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How the digital literacy level of teachers affects student well-being: a configuration analysis approach based on fsQCA. [PDF]
Chen L, Qiu Y, Zhong B.
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The Association Between Medication Literacy and Blood Pressure Control in Patients With Hypertension in a Multi-ethnic County in China. [PDF]
Feng Z +4 more
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Background knowledge in diagnosis
A diagnostic framework in which there is a clear separation between the expertise per se and relevant background knowledge is discussed. We argue for the need to have an explicit representation of background knowledge. Background knowledge is domain foundational knowledge or common-sense knowledge; it is brought into play in the diagnostic context ...
Keravnou-Papailiou, Elpida T. +11 more
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Intelligent monitoring with background knowledge
2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015This paper describes the design and implementation of an intelligent monitoring system, that runs advanced inference mechanisms to correlate events from various sensors. Different to existing monitoring approaches, it exploits taxonomic background knowledge in form of ontological information to draw refined inferences.
Kai-Oliver Detken +4 more
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STUDENTS' BACKGROUND KNOWLEDGE OF INFORMATICS
INTED proceedings, 2016Students applying to higher education institutions in the Republic of Croatia have different background knowledge of informatics. The existing curricula for the primary and secondary education and inadequate status of informatics as an extracurricular activity and only elective subject in the primary education in the Republic of Croatia cause the great
Oreški, Predrag, Varga, Matija
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Combining Background Knowledge and Learned Topics
Topics in Cognitive Science, 2011AbstractStatistical topic models provide a general data‐driven framework for automated discovery of high‐level knowledge from large collections of text documents. Although topic models can potentially discover a broad range of themes in a data set, the interpretability of the learned topics is not always ideal.
Mark Steyvers +2 more
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THE UBIQUITY OF BACKGROUND KNOWLEDGE
2005Scientific discourse leaves implicit a vast amount of knowledge, assumes that this background knowledge is taken into account – even taken for granted – and treated as undisputed. In particular, the terminology in the empirical sciences is treated as antecedently understood. The background knowledge surrounding a theory is usually assumed to be true or
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The background knowledge of the LILOG system
1991The LILOG system under development at IBM Germany is a text understanding system with a question/answering component for proving successful text processing. The texts under investigation are non-technical texts understandable for ‘normal people’ with commonsense knowledge. As well known in AI, text understanding systems require background knowledge for
Gudrun Klose, Kai von Luck
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