Formalising uncertainty: An Ontology of Reasoning, Certainty and Attribution (ORCA).
Abstract. To enable better representations of biomedical argumentation over collections of research papers, we propose a model and a lightweight ontology to represent interpersonal, discourse-based, data-driven reasoning. This model is applied to a collection of scientific documents, to show how it...
| Main Authors: | , |
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| Format: | Text |
| Language: | English |
| Published: |
2012
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1082.6073 http://jodischneider.com/pubs/satbi-swim2012.pdf |
| Summary: | Abstract. To enable better representations of biomedical argumentation over collections of research papers, we propose a model and a lightweight ontology to represent interpersonal, discourse-based, data-driven reasoning. This model is applied to a collection of scientific documents, to show how it can be applied in practice. We present three biomedical applications for this work, and suggest connections with other, existing, ontologies and reasoning tools. Specifically, this model offers a lightweight way to connect nanopublication-like formal representations to scientific papers written in natural language. |
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