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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Main Authors: Anita De Waard, Jodi Schneider
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
scholarly communication
ontologies
nanopublications
Orca
Online Access: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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spelling 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
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic scholarly communication
ontologies
nanopublications
spellingShingle 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.
author2 The Pennsylvania State University CiteSeerX Archives
format 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
genre Orca
genre_facet Orca
op_source http://ceur-ws.org/Vol-930/p2.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.1374
http://ceur-ws.org/Vol-930/p2.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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