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📄 content/R- Hypotheses Evidence and Relationships.md contributed by 👤 @scalingsynthesis ️🔗 ✍️
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#references
- Title: Hypotheses, Evidence and Relationships: The HypER Approach for Representing Scientific Knowledge Claims
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- Tags: #ref/Paper
- Authored by:: [[Anita de Waard]] [[Simon Buckingham Shum]] [[Annamaria Carusi]] [[Jack Park]] [[Matthias Samwald]] [[Ágnes Sándor]]
- Authored by:: [[Anita de Waard]] , [[Simon Buckingham Shum]] , Annamaria Carusi , [[Jack Park]] , Matthias Samwald , Ágnes Sándor
- Year: [[2009]]
- Publication: Proceedings of the 8th International Semantic Web Conference, Workshop on Semantic Web Applications in Scientific Discourse
- URL: de Waard et al. (2009). Hypotheses, Evidence and Relationships: The HypER Approach for Representing Scientific Knowledge Claims. Proceedings of the 8th International Semantic Web Conference, Workshop on Semantic Web Applications in Scientific Discourse
- Citekey: dewaardHypothesesEvidenceRelationships2009
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Abstract
- 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.
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