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...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.370.1374 2023-05-15T17:53:35+02:00 Formalising Uncertainty: An Ontology of Reasoning, Certainty and Attribution (ORCA) Anita De Waard Jodi Schneider The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.1374 http://ceur-ws.org/Vol-930/p2.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.1374 http://ceur-ws.org/Vol-930/p2.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://ceur-ws.org/Vol-930/p2.pdf scholarly communication ontologies nanopublications text ftciteseerx 2016-01-08T01:16:06Z 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. Text Orca Unknown |
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scholarly communication ontologies nanopublications |
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scholarly communication ontologies nanopublications Anita De Waard Jodi Schneider Formalising Uncertainty: An Ontology of Reasoning, Certainty and Attribution (ORCA) |
topic_facet |
scholarly communication ontologies nanopublications |
description |
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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The Pennsylvania State University CiteSeerX Archives |
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Text |
author |
Anita De Waard Jodi Schneider |
author_facet |
Anita De Waard Jodi Schneider |
author_sort |
Anita De Waard |
title |
Formalising Uncertainty: An Ontology of Reasoning, Certainty and Attribution (ORCA) |
title_short |
Formalising Uncertainty: An Ontology of Reasoning, Certainty and Attribution (ORCA) |
title_full |
Formalising Uncertainty: An Ontology of Reasoning, Certainty and Attribution (ORCA) |
title_fullStr |
Formalising Uncertainty: An Ontology of Reasoning, Certainty and Attribution (ORCA) |
title_full_unstemmed |
Formalising Uncertainty: An Ontology of Reasoning, Certainty and Attribution (ORCA) |
title_sort |
formalising uncertainty: an ontology of reasoning, certainty and attribution (orca) |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.1374 http://ceur-ws.org/Vol-930/p2.pdf |
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Orca |
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Orca |
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http://ceur-ws.org/Vol-930/p2.pdf |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.1374 http://ceur-ws.org/Vol-930/p2.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766161291276189696 |