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 articlepeer-review

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
StatePublished - 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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