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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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Background knowledge in diagnosis
Artificial Intelligence in Medicine, 1992A 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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Proceedings of the 2011 workshop on Predictive markup language modeling, 2011
This paper introduces an attempt for a holistic approach to integrating background knowledge with PMML in the area of association rule mining. An XML format for capturing background knowledge inspired by PMML that scopes pre-processing and background knowledge association rules is presented.
Tomáš Kliegr +2 more
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This paper introduces an attempt for a holistic approach to integrating background knowledge with PMML in the area of association rule mining. An XML format for capturing background knowledge inspired by PMML that scopes pre-processing and background knowledge association rules is presented.
Tomáš Kliegr +2 more
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FUZZY ONTOLOGY ALIGNMENT USING BACKGROUND KNOWLEDGE
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2014We propose an ontology alignment framework with two core features: the use of background knowledge and the ability to handle vagueness in the matching process and the resulting concept alignments. The procedure is based on the use of a generic reference vocabulary, which is used for fuzzifying the ontologies to be matched.
Todorov, Konstantin +3 more
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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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Argumentative Relation Classification with Background Knowledge
2020A common conception is that the understanding of relations that hold between argument units requires knowledge beyond the text. But to date, argument analysis systems that leverage knowledge resources are still very rare. In this paper, we propose an unsupervised graph-based ranking method that extracts relevant multi-hop knowledge from a background ...
Debjit, Paul +5 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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Introduction and Background Knowledge
2017Draws out the sketch of what the “problem” this thesis is dealing with, and clarifies the fundamental question this thesis examines: Is China’s cyber-nationalism bringing any challenges to foreign embassies’ practice of e-diplomacy in China? If it is, what sort of challenges is cyber-nationalism bringing to e-diplomacy?
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