A Protein annotation framework empowered with semantic reasoning

Jemma X. Wu, Edmond J. Breen, Xiaomin Song, Brett Cooke, Mark P. Molloy

Research output: Contribution to journalArticlepeer-review


This paper presents an association discovery framework for proteins based on semantic annotations from biomedical literatures. An automatic ontology-based annotation method is used to create a semantic protein annotation knowledge base. A semantic reasoning service enables realisation reasoning on original annotations to infer more accurate associations. A case study on protein-disease association discovery on a real-world colorectal cancer dataset is presented.

Original languageEnglish
Pages (from-to)185-188
Number of pages4
JournalCEUR Workshop Proceedings
Publication statusPublished - 2013


  • bioinformatics
  • protein annotation
  • semantic reasoning


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