A “Model to Model” Collaborative Perception Methodology for Distributed Design

To solve the problem of collaborative engineering changes of models distributed in heterogeneous design platforms, a “model to model” perception methodology is proposed in this paper. A self-management collaborative architecture is presented by peer to peer architecture and multiagent system. The network addresses correlation between heterogeneous platforms is built up by the perception router ontology. In the same way, the correlation between design models is described by the feature relation ontology. The design changes are encapsulated by the model modification ontology. Along with the ontology above, the design change search method is devised to catch the geometric changes; the influence search method is proposed to discover the influenced design feature and the design change adapting method is used to preserve the correlation coherence after perception. Through the work, the conventional design perception mode among designers has transformed into direct perception among models instead.

An Evolutionary Approach to Realism-based Adverse Event Representations

Summary Background: Part of the ReMINE project involved the creation of an ontology enabling computer-assisted decision support for optimal adverse event management. Objectives: The ontology was required to satisfy the following requirements: 1) to be able to account for the distinct and context-dependent ways in which authoritative sources define the term ‘adverse event’, 2) to allow the identification of relevant risks against patient safety (RAPS) on the basis of the disease history of a patient as documented in electronic health records, and 3) to be compatible with present and future ontologies developed under the Open Biomedical Ontology (OBO) Foundry framework. Methods: We used as feeder ontologies the Basic Formal Ontology, the Foundational Model of Anatomy, the Ontology for General Medical Science, the Information Artifact Ontology and the Ontology of Mental Health. We further used relations defined according to the pattern set forth in the OBO Relation Ontology. In light of the intended use of the ontology for the representation of adverse events that have actually occurred and therefore are registered in a database, we also applied the principles of referent tracking. Results: We merged the upper portions of the mentioned feeder ontologies and introduced 22 additional representational units of which 13 are generally applicable in biomedicine and nine in the adverse event context. We provided for each representational unit a textual definition that can be translated into equivalent formal definitions. Conclusion: The resulting ontology satisfies all of the requirements set forth. Merging the feeder ontologies, although all designed under the OBO Foundry principles, brought new insight into what the representational units of such ontologies actually denote.