As methods for engineering data acquisition improve, methods for storing, generating knowledge from, and sharing that data for efficient reuse have become more important. Knowledge management in the engineering community can greatly benefit from advancements made in knowledge management in biology. The biological community has already made progress in knowledge management through projects such as the Gene Ontology and CellML, and it behooves the engineering community to learn from their successes. Engineering and biology overlap in the field of biosimulation, (i.e. finite-element analysis of biological systems, see www.biomesh.org) which gives an opportunity to integrate successful ontologies from the biology community into the engineering community. Previous research has led to the creation of the Biomesh project, which is a collection of biological finite element (FE) models. These FE models relate to a particular anatomical structure of an organism, and to the set of biological material properties associated with the models. Thus, knowledge management for this application requires knowledge integration from three distinct fields: engineering (materials and models), anatomy, and biological classification. The existing e-Design Framework offers the Engineering Analysis Models ontology and Materials ontology to store knowledge about materials and FE models. Similarly, the existing Minimal Anatomical Terms ontology and the NCBI Organismal Classification taxonomy were used to store information about anatomy and biological classification, respectively. In this paper these ontologies are interlinked in a single, synergistic ontology to expose and integrate knowledge in a transparent manner between previously disparate domains. A case study is presented to demonstrate the usefulness of the approach in which knowledge from a biological material and FE model are methodically stored in the new ontology, and the organismal classification and anatomical structure of the model are immediately exposed to the user.

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