Hypotheses, evidence and relationships: The HypER approach for representing scientific knowledge claims

Anita De Waard, Simon Buckingham Shum, Annamaria Carusi, Jack Park, Matthias Samwald, Ágnes Sándor

Research output: Contribution to journalConference article

2 Scopus citations


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.

Original languageEnglish
JournalCEUR Workshop Proceedings
Publication statusPublished - Dec 1 2009
EventWorkshop on Semantic Web Applications in Scientific Discourse 2009, SWASD 2009 - Collocated with the 8th International Semantic Web Conference, ISWC 2009 - Washington, DC, United States
Duration: Oct 26 2009Oct 26 2009



  • Argumentation tools
  • Author intent
  • Discourse analysis
  • Hypothesis identification
  • Pragmatic web
  • Science publishing

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