Semantic DMN: Formalizing and Reasoning About Decisions in the Presence of Background Knowledge
Sign Up to like & getrecommendations! Published in 2019 at "Theory and Practice of Logic Programming"
DOI: 10.1017/s1471068418000479
Abstract: Abstract The Decision Model and Notation (DMN) is a recent Object Management Group standard for the elicitation and representation of decision models and for managing their interconnection with business processes. DMN builds on the notion… read more here.
Keywords: background knowledge; semantic dmn; decision; knowledge ... See more keywords
Formal axioms in biomedical ontologies improve analysis and interpretation of associated data
Sign Up to like & getrecommendations! Published in 2019 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz920
Abstract: Abstract Motivation Over the past years, significant resources have been invested into formalizing biomedical ontologies. Formal axioms in ontologies have been developed and used to detect and ensure ontology consistency, find unsatisfiable classes, improve interoperability,… read more here.
Keywords: formal axioms; ontology; knowledge; analysis ... See more keywords
Transformers and the Representation of Biomedical Background Knowledge
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DOI: 10.1162/coli_a_00462
Abstract: Abstract Specialized transformers-based models (such as BioBERT and BioMegatron) are adapted for the biomedical domain based on publicly available biomedical corpora. As such, they have the potential to encode large-scale biological knowledge. We investigate the… read more here.
Keywords: background knowledge; biomedical background; representation biomedical; knowledge ... See more keywords
A Functional Contextual Account of Background Knowledge in Categorization: Implications for Artificial General Intelligence and Cognitive Accounts of General Knowledge
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2022.745306
Abstract: Psychology has benefited from an enormous wealth of knowledge about processes of cognition in relation to how the brain organizes information. Within the categorization literature, this behavior is often explained through theories of memory construction… read more here.
Keywords: theory; background knowledge; knowledge; psychology ... See more keywords
Optical Medieval Music Recognition Using Background Knowledge
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DOI: 10.3390/a15070221
Abstract: This paper deals with the effect of exploiting background knowledge for improving an OMR (Optical Music Recognition) deep learning pipeline for transcribing medieval, monophonic, handwritten music from the 12th–14th century, whose usage has been neglected… read more here.
Keywords: using background; music recognition; background; background knowledge ... See more keywords
Line-Level Layout Recognition of Historical Documents with Background Knowledge
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DOI: 10.3390/a16030136
Abstract: Digitization and transcription of historic documents offer new research opportunities for humanists and are the topics of many edition projects. However, manual work is still required for the main phases of layout recognition and the… read more here.
Keywords: recognition; background knowledge; layout recognition; level layout ... See more keywords
Refining neural network predictions using background knowledge
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DOI: 10.48550/arxiv.2206.04976
Abstract: Recent work has shown learning systems can use logical background knowledge to compensate for a lack of labeled training data. Many methods work by creating a loss function that encodes this knowledge. However, often the… read more here.
Keywords: neural network; knowledge; background knowledge; network predictions ... See more keywords