Infrastructure for dynamic knowledge integration-Automated biomedical ontology extension using textual resources

  • Authors:

  • Vít Nováček;Loredana Laera;Siegfried Handschuh;Brian Davis

  • Affiliations:

  • Digital Enterprise Research Institute, National University of Ireland, Galway, IDA Business Park, Lower Dangan, Galway, Co. Galway, Ireland;Department of Computer Science, University of Liverpool, UK;Digital Enterprise Research Institute, National University of Ireland, Galway, IDA Business Park, Lower Dangan, Galway, Co. Galway, Ireland;Digital Enterprise Research Institute, National University of Ireland, Galway, IDA Business Park, Lower Dangan, Galway, Co. Galway, Ireland

  • Venue:
  • Journal of Biomedical Informatics
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of e-health and biomedicine application domains into account. Changing and growing knowledge, possibly contained in unstructured natural language resources, is handled by application of cutting-edge Semantic Web technologies. In particular, semi-automatic integration of ontology learning results into a manually developed ontology is employed. This integration bases on automatic negotiation of agreed alignments, inconsistency resolution and natural language generation methods. Their novel combination alleviates the end-user effort in the incorporation of new knowledge to large extent. This allows for efficient application in many practical use cases, as we show in the paper.