Identifying conceptual layers in the ontology development process
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Axioms & templates: distinctions & transformationsamongst ontologies, frames, & information models
Proceedings of the seventh international conference on Knowledge capture
OBDA and intermodal logistics: active projects and applications
RR'13 Proceedings of the 7th international conference on Web Reasoning and Rule Systems
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We here present our research and experience regarding the design and implementation of a knowledge-based preoperative assessment decision support system. We discuss generic design considerations as well as the practical system implementation. We developed the system using semantic web technology, including modular ontologies developed in the OWL web ontology language, the OWL Java application programming interface and an automated logic reasoner. We discuss how the system enables to tailor patient information collection according to personalized medical context. The use of ontologies at the core of the system’s architecture permits to efficiently manage a vast repository of preoperative assessment domain knowledge, including classification of surgical procedures, classification of morbidities and guidelines for routine preoperative tests. Logical inference on the domain knowledge according to individual patient’s medical context enables personalized patients’ reports consisting of a risk assessment and clinical recommendations such as relevant preoperative tests.