Detecting Inconsistencies in the Gene Ontology Using Ontology Databases with Not-gadgets

  • Authors:

  • Paea Lependu;Dejing Dou;Doug Howe

  • Affiliations:

  • Computer and Information Science, University of Oregon, Eugene, USA 97403;Computer and Information Science, University of Oregon, Eugene, USA 97403;Zebrafish Information Network, University of Oregon, Eugene, USA 97403

  • Venue:
  • OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
  • Year:
  • 2009

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Abstract

We present ontology databases with not-gadgets, a method for detecting inconsistencies in an ontology with large numbers of annotated instances by using triggers and exclusion dependencies in a unique way. What makes this work relevant is the use of the database itself, rather than an external reasoner, to detect logical inconsistencies given large numbers of annotated instances. What distinguishes this work is the use of event-driven triggers together with the introduction of explicit negations. We applied this approach toward the serotonin example, an open problem in biomedical informatics which aims to use annotations to help identify inconsistencies in the Gene Ontology. We discovered 75 inconsistencies that have important implications in biology, which include: (1) methods for refining transfer rules used for inferring electronic annotations, and (2) highlighting possible biological differences across species worth investigating.