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IKARO  

Improved Knowledge Access through Repurposed Ontologies

The project aims to facilitate access to ontologies by restructuring their concepts dynamically according to the actual application. Our approach is to create on top of the original ontology a virtual ontology whose structure is defined explicitly or learned implicitly.

There is already a prototype for classifying medical services with TARMED.

With this proposal we submit a research project that follows a vein of research that has the potential to influence considerably how information will be made available and consumed in the near future. The basic technology, which our proposal is relying on, is likely to be the core technology used to create the next generation of the WWW.

The overall goal of this project is the development of a formal framework for repurposing ontologies. The motivation behind this proposal is twofold:

  1. Ontologies are rarely provided in convenient and meaningful way for an end user
  2. It is too costly to develop ontologies that correspond to every user's specific needs

The global goal is broken down into the following sub-tasks to be realized during this project.

  1. Formal specification of the basic knowledge representation system
  2. Implementation of the knowledge representation system
  3. Formal specification and validation of a repurposing language
  4. Integration of the repurposing language into the previously developed KR system
  5. Formal specification of a simple inference engine for the basic language as well as the repurposing language
  6. Integration of the inference engine into the KR system
  7. Validation through the implementation of a prototype application (TARMED)

The central part of the proposed project is the formal specification and validation of a repurposing language. We want this language to respect the following requirements:

  1. All repurposing operations have to leave the original ontology unmodified.
  2. All inferences made in the repurposed ontology have to remain sound and complete with respect to the original ontology.
  3. All inferences made in the repurposed ontology have to be sound and should be complete (if possible) with respect to the repurposed ontology.
  4. Mechanisms have to be provided to cascade operations realized on the instance level back into the original ontology.

We do not insist on completeness in order to make the repurposing operations more flexible. Furthermore, we want to ensure that a classification realized in a repurposed ontology can be mapped back to the original ontology. This is especially important as we consider classification as the main task to be carried out by our system.

Once we have established a general-purpose formal system for repurposing ontologies we want to verify and show the applicability of our system by creating at least one prototype application based on the TARMED ontology, as this ontology and it's usability will be of great importance in Switzerland over the next couple of years.