de Waard, A.; Buckingham Shum, S.; Carusi, A.; Park, J.; Samwald, M. and Sándor, Á.
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Biological knowledge is increasingly represented as a collection of (entity-relationship-entity) triplets. These are queried, mined, appended to papers, and published. However, this representation ignores the argumentation contained within a paper and the relationships between hypotheses, claims and evidence put forth in the article. In this paper, we propose an alternate view of the research article as a network of 'hypotheses and evidence'. Our knowledge representation focuses on scientific discourse as a rhetorical activity, which leads to a different direction in the development of tools and processes for modeling this discourse. We propose to extract knowledge from the article to allow the construction of a system where a specific scientific claim is connected, through trails of meaningful relationships, to experimental evidence. We discuss some current efforts and future plans in this area.
|Item Type:||Conference Item|
|Copyright Holders:||2009 The Authors|
|Keywords:||hypothesis identification; discourse analysis; pragmatic web; science publishing; argumentation tools; author intent;|
|Academic Unit/Department:||Knowledge Media Institute|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Simon Buckingham Shum|
|Date Deposited:||21 Oct 2009 12:49|
|Last Modified:||23 Mar 2016 09:00|
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