Data organization has become a strategic target for biologists due to the increasing volume of genomic data available for them. For this purpose, we need a complete knowledge model for representing biological system. In this paper, we deal with both processes for the creation and integration of shareable, reusable domain models within biology, which is a critical issue. In particular, this work introduces a new cooperative development approach for biology ontologies. This approach is based on the integration of the ontologies supplied by different human experts. Two experiments in biological domains are presented and their results discussed.
Abstract. One of the basic needs for any healthcare professional is to be able to access clinical information of patients in an understandable and normalized way. The lifelong clinical information of any person supported by electronic means configures his Electronic Health Record (EHR). There are currently different standards for representing EHRs. Each standard defines its own information models, so that, in order to promote the interoperability among standard-compliant information systems, the different information models must be semantically integrated. In this work, we present an ontological approach to promote interoperability among CEN-and OpenEHR-compliant information systems by facilitating the construction of interoperable clinical archetypes.
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