Decentralized case-based reasoning and Semantic Web technologies applied to decision support in oncology

Abstract

This article presents the KASIMIR system dedicated to decision knowledge management in oncology and which is built on top of Semantic Web technologies, taking benefit from standard knowledge representation formalisms and open reasoning tools. The representation of medical decision protocols, in particular for breast cancer treatment, is based on concepts and instances implemented within the description logic OWL DL (Web ontology language description logic). The knowledge units related to a protocol can then be applied for solving specific medical problems, using instance or concept classification. However, the straight application of a protocol is not always satisfactory, for example, because of contraindications, necessitating an adaptation of the protocol. This is why the principles and methods of case-based reasoning (CBR) in the framework of DLs have been used. In addition, the domain of oncology is complex and involves several specialties, for example, surgery and chemotherapy. This complexity can be better undertaken with a viewpoint-based representation of protocols and viewpoint-based reasoning, for either application or adaptation of the protocols. Accordingly, a distributed DL has been used for representing a viewpoint-based protocol. The application and the adaptation of the viewpoint-based protocol to medical cases is carried out using global instance classification and decentralized CBR.

An Ontological Approach to Constraint-Based Design Case Adaptation

“…We want to take advantage of description logic (DL) reasoning mechanism to fulfil the constraint-based design case adaptation. The research done by [12] is by far the closest to our own work, where they applied the DL formalism i.e. subsumption, instantiation and concept satisfiability to the reformulation model for protocol adaptation.…”