Ontology-Based Knowledge Representation and Information Management in a Biological Light Fieldable Laboratory

Olga Vybornova, Pierre-Alain Fonteyne, Jean-Luc Gala

ABSTRACT

A comprehensive ontology has been developed to model the operational domain knowledge and provide information management for a light fieldable laboratory (LFL) performing molecular microbiological analyses. LFL is considered as a toolbox where all operational functions and tools used to execute these functions are incorporated into a single system. The ontology is used to facilitate the LFL mission preparation and management, to provide technical compatibility of sharable information between tools, and to align the terminology and definitions between tools while complying with standards, best practices and procedures. The LFL domain is a formalised and structured  modelling the LFL concepts, procedures, functions, prescribing the necessary functions and delimiting those which are incompatible with the given mission or scenario. Such consistent logical modelling allows to efficiently plan and configure the LFL mission selecting only the necessary functions and tools from the whole collection and to activate them appropriately in due time.

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