---
title: R- Hypotheses Evidence and Relationships
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author: Anita de Waard, Simon Buckingham Shum, Annamaria Carusi, Jack Park, Matthias Samwald, Ágnes Sándor
year: 2009
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- resource
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alias: "@dewaardHypothesesEvidenceRelationships2009"
---

- #references
    - Title: Hypotheses, Evidence and Relationships: The HypER Approach for Representing Scientific Knowledge Claims
    - Meta:
        - 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](undefined)
        - Citekey: dewaardHypothesesEvidenceRelationships2009
    - Content
        - Placeholder
        - 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.