Trust based ontology integration for the community services sector

  • Authors:

  • Dennis Hooijmaijers;Markus Stumptner

  • Affiliations:

  • University of South Australia, Mawson Lakes, South Australia;University of South Australia, Mawson Lakes, South Australia

  • Venue:
  • AOW '06 Proceedings of the second Australasian workshop on Advances in ontologies - Volume 72
  • Year:
  • 2006

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Abstract

As ontologies become more prevalent for information management the need to manage the ontologies increases. In the community services sector multiple organisations often combine to tender for funding. When separate organisations come together to generate reports for funding bodies an alignment of terminology and semantics is required. Ontology creation is privatised for these individual organisations to represent their view of the domain. This creates problems with alignment and integration, making it necessary to consider how much each ontology should influence the current decision to be made. To assist with determining influence a trust based approach on author and the ontologies provides a mechanism for ranking reasoning results. A representation of authors and the individual resources they provide for the merged ontology becomes necessary. The authors are then weighted by trust and trust for the resources the author provides to the ontology is calculated. This is then used to assist the integration process allowing for an evolutionary trust model to calculate the level of belief in the resources. Once the integration is complete the semantic agreement between the ontologies allows for the recalculation of the author's trust.